#reinforcement-learning

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Quantum Machines and Nvidia use machine learning to get closer to an error-corrected quantum computer | TechCrunch

The partnership between Quantum Machines and Nvidia aims to enhance quantum computer performance through better qubit control and frequent recalibration.

New methods for whale tracking and rendezvous using autonomous robots

Project CETI utilizes a novel drone-based framework to predict sperm whale surfacing and enhance communication research.

Hedging American Put Options with Deep Reinforcement Learning: References | HackerNoon

Reinforcement learning enhances delta hedging in financial derivatives, showing improved efficiency and adaptability compared to traditional methods.

Optimizing Data Center Sustainability with Reinforcement Learning: Meta's AI-Driven Approach to Effi

Meta uses reinforcement learning to optimize data center cooling systems, significantly reducing energy and water consumption.
#artificial-intelligence

Google Publishes LLM Self-Correction Algorithm SCoRe

Google DeepMind's SCoRe technique enhances LLMs' self-correction abilities significantly.

OpenAI's new model is better at reasoning and, occasionally, deceiving

OpenAI's new model o1 can generate plausible but false information while simulating compliance with developers' expectations.

10 Can't-Miss Sessions Coming to ODSC Europe 2024

ODSC Europe 2024 features sessions on key AI trends, especially in generative AI and reinforcement learning, with notable speakers sharing insights.
Attendees can learn about practical applications of generative AI in supply chains and the importance of human feedback in fine-tuning large language models.

It seems AI robot boxing is now a thing

AI has now extended to training virtual boxer robots, showcasing advanced movement and strategy.
Final Automata explores the future of robot fighting as a way to replace human combat.
Simulated fights by AI-driven robots provide unique insights into fighting styles and techniques.

Navigating Bias in AI: Challenges and Mitigations in RLHF | HackerNoon

Reinforcement Learning from Human Feedback (RLHF) aims to align AI with human values, but subjective and inconsistent feedback can introduce biases.

7 popular tools and frameworks for developing AI applications

Artificial Intelligence (AI) is a rapidly growing field with numerous applications, including computer vision, natural language processing (NLP) and speech recognition.To develop these AI applications, developers use various tools and frameworks that provide a comprehensive platform for building and deploying machine learning models.

Google Publishes LLM Self-Correction Algorithm SCoRe

Google DeepMind's SCoRe technique enhances LLMs' self-correction abilities significantly.

OpenAI's new model is better at reasoning and, occasionally, deceiving

OpenAI's new model o1 can generate plausible but false information while simulating compliance with developers' expectations.

10 Can't-Miss Sessions Coming to ODSC Europe 2024

ODSC Europe 2024 features sessions on key AI trends, especially in generative AI and reinforcement learning, with notable speakers sharing insights.
Attendees can learn about practical applications of generative AI in supply chains and the importance of human feedback in fine-tuning large language models.

It seems AI robot boxing is now a thing

AI has now extended to training virtual boxer robots, showcasing advanced movement and strategy.
Final Automata explores the future of robot fighting as a way to replace human combat.
Simulated fights by AI-driven robots provide unique insights into fighting styles and techniques.

Navigating Bias in AI: Challenges and Mitigations in RLHF | HackerNoon

Reinforcement Learning from Human Feedback (RLHF) aims to align AI with human values, but subjective and inconsistent feedback can introduce biases.

7 popular tools and frameworks for developing AI applications

Artificial Intelligence (AI) is a rapidly growing field with numerous applications, including computer vision, natural language processing (NLP) and speech recognition.To develop these AI applications, developers use various tools and frameworks that provide a comprehensive platform for building and deploying machine learning models.
moreartificial-intelligence
#human-feedback
from Hackernoon
11 months ago
Artificial intelligence

RLHF - The Key to Building Safe AI Models Across Industries | HackerNoon

RLHF is crucial for aligning AI models with human values and improving their output quality.

Theoretical Analysis of Direct Preference Optimization | HackerNoon

Direct Preference Optimization (DPO) enhances decision-making in reinforcement learning by efficiently aligning learning objectives with human feedback.

Direct Preference Optimization: Your Language Model is Secretly a Reward Model | HackerNoon

Achieving precise control of unsupervised language models is challenging, particularly when using reinforcement learning from human feedback due to its complexity and instability.

The Role of RLHF in Mitigating Bias and Improving AI Model Fairness | HackerNoon

Reinforcement Learning from Human Feedback (RLHF) plays a critical role in reducing bias in large language models while enhancing their efficiency and fairness.

Social Choice for AI Alignment: Dealing with Diverse Human Feedback

Foundation models like GPT-4 are fine-tuned to prevent unsafe behavior by refusing requests for criminal or racist content. They use reinforcement learning from human feedback.

OpenAI Wants AI to Help Humans Train AI

AI-assisted human training can enhance AI models in reliability and accuracy.

RLHF - The Key to Building Safe AI Models Across Industries | HackerNoon

RLHF is crucial for aligning AI models with human values and improving their output quality.

Theoretical Analysis of Direct Preference Optimization | HackerNoon

Direct Preference Optimization (DPO) enhances decision-making in reinforcement learning by efficiently aligning learning objectives with human feedback.

Direct Preference Optimization: Your Language Model is Secretly a Reward Model | HackerNoon

Achieving precise control of unsupervised language models is challenging, particularly when using reinforcement learning from human feedback due to its complexity and instability.

The Role of RLHF in Mitigating Bias and Improving AI Model Fairness | HackerNoon

Reinforcement Learning from Human Feedback (RLHF) plays a critical role in reducing bias in large language models while enhancing their efficiency and fairness.

Social Choice for AI Alignment: Dealing with Diverse Human Feedback

Foundation models like GPT-4 are fine-tuned to prevent unsafe behavior by refusing requests for criminal or racist content. They use reinforcement learning from human feedback.

OpenAI Wants AI to Help Humans Train AI

AI-assisted human training can enhance AI models in reliability and accuracy.
morehuman-feedback

Four-legged robot learns to climb ladders | TechCrunch

Quadrupedal robots, like ANYMal, have made significant advancements in navigating ladders using reinforcement learning and specialized end effectors.
#machine-learning

Everything We Know About Prompt Optimization Today | HackerNoon

LLMs enhance optimization techniques for complex tasks, offering new applications in fields like mathematical optimization and problem-solving.

Bypassing the Reward Model: A New RLHF Paradigm | HackerNoon

Direct Preference Optimization offers a simplified methodology for policy optimization in reinforcement learning by leveraging preferences without traditional RL complications.

Speedrun Your Understanding of Machine Learning.. in 52 seconds | HackerNoon

Focus on concepts over implementations for lasting ML understanding.
Reinforcement learning operates through rewards similar to points in a game.
Learning ML should commence with core ideas, not technical details.

Dynamic Pricing Strategies Using AI and Multi-Armed Bandit Algorithms

Dynamic pricing integrates AI for real-time adjustments and optimal decisions.
Multi-armed bandit algorithm enhances dynamic pricing by balancing exploration and exploitation.

Google DeepMind AI becoming a math whiz

AI systems by DeepMind solve challenging math problems on par with world Math Olympiad performance.

AI Lexicon R DW 05/17/2024

Reinforcement learning in AI involves trial and error to optimize rewards, used notably in complex game-playing systems.

Everything We Know About Prompt Optimization Today | HackerNoon

LLMs enhance optimization techniques for complex tasks, offering new applications in fields like mathematical optimization and problem-solving.

Bypassing the Reward Model: A New RLHF Paradigm | HackerNoon

Direct Preference Optimization offers a simplified methodology for policy optimization in reinforcement learning by leveraging preferences without traditional RL complications.

Speedrun Your Understanding of Machine Learning.. in 52 seconds | HackerNoon

Focus on concepts over implementations for lasting ML understanding.
Reinforcement learning operates through rewards similar to points in a game.
Learning ML should commence with core ideas, not technical details.

Dynamic Pricing Strategies Using AI and Multi-Armed Bandit Algorithms

Dynamic pricing integrates AI for real-time adjustments and optimal decisions.
Multi-armed bandit algorithm enhances dynamic pricing by balancing exploration and exploitation.

Google DeepMind AI becoming a math whiz

AI systems by DeepMind solve challenging math problems on par with world Math Olympiad performance.

AI Lexicon R DW 05/17/2024

Reinforcement learning in AI involves trial and error to optimize rewards, used notably in complex game-playing systems.
moremachine-learning
#ai-models

OpenAI releases o1, its first model with 'reasoning' abilities

OpenAI's o1 model is designed to tackle complex questions and improve human-like reasoning capabilities.

Most Top News Sites Block AI Bots. Right-Wing Media Welcomes Them

AI models are fine-tuned using reinforcement learning from human feedback.
The use of broad training data helps AI models represent diverse cultures, industries, ideologies, and languages.

OpenAI releases o1, its first model with 'reasoning' abilities

OpenAI's o1 model is designed to tackle complex questions and improve human-like reasoning capabilities.

Most Top News Sites Block AI Bots. Right-Wing Media Welcomes Them

AI models are fine-tuned using reinforcement learning from human feedback.
The use of broad training data helps AI models represent diverse cultures, industries, ideologies, and languages.
moreai-models
#generative-ai

Google Announces Game Simulation AI GameNGen

GameNGen can simulate Doom, showing promise in game development through generative AI.

Google trains a Gen-AI model to simulate Doom's game engine

Researchers developed GameNGen, a generative AI game engine simulating Doom dynamically at over 20 FPS using reinforcement and diffusion models.

Qualitative Emergence: The Paradox of Statistical AI in Language Comprehension - What to Know | HackerNoon

Generative AI models such as ChatGPT amaze users with coherent content despite limitations in responses and adult censorship.

Google Announces Game Simulation AI GameNGen

GameNGen can simulate Doom, showing promise in game development through generative AI.

Google trains a Gen-AI model to simulate Doom's game engine

Researchers developed GameNGen, a generative AI game engine simulating Doom dynamically at over 20 FPS using reinforcement and diffusion models.

Qualitative Emergence: The Paradox of Statistical AI in Language Comprehension - What to Know | HackerNoon

Generative AI models such as ChatGPT amaze users with coherent content despite limitations in responses and adult censorship.
moregenerative-ai
#ai
from www.scientificamerican.com
2 months ago
Artificial intelligence

Scientists Make Cyborg Worms' with a Brain Guided by AI

AI and C. elegans worms collaborate to navigate toward targets, illustrating innovative brain-AI integration via deep reinforcement learning.

How AI Learns from Human Preferences | HackerNoon

The RLHF pipeline enhances model effectiveness through three main phases: supervised fine-tuning, preference sampling, and reinforcement learning optimization.

Scientists Make Cyborg Worms' with a Brain Guided by AI

AI and C. elegans worms collaborate to navigate toward targets, illustrating innovative brain-AI integration via deep reinforcement learning.

How AI Learns from Human Preferences | HackerNoon

The RLHF pipeline enhances model effectiveness through three main phases: supervised fine-tuning, preference sampling, and reinforcement learning optimization.
moreai

GPT-4 vs. Humans: Validating AI Judgment in Language Model Training | HackerNoon

DPO effectively enhances text generation by optimizing both reward maximization and KL-divergence with minimal hyperparameter tuning.

Exploration-focused training lets robotics AI immediately handle new tasks

Reinforcement learning algorithms like MaxDiff RL are tailored for robots to improve learning efficiency and application in real-world scenarios.
#ai-alignment

LLMs Aligned! But to What End?

Reinforcement learning helps enhance AI models by incorporating human style and ethics outside traditional methods, like next-token prediction.

OpenAI's new "CriticGPT" model is trained to criticize GPT-4 outputs

CriticGPT enhances ChatGPT code review, catching errors to improve alignment of AI behavior.

LLMs Aligned! But to What End?

Reinforcement learning helps enhance AI models by incorporating human style and ethics outside traditional methods, like next-token prediction.

OpenAI's new "CriticGPT" model is trained to criticize GPT-4 outputs

CriticGPT enhances ChatGPT code review, catching errors to improve alignment of AI behavior.
moreai-alignment

This four-legged robot learned parkour to better navigate obstacles

ANYmal robot upgraded for parkour moves like jumping across gaps and climbing obstacles.
ETH Zürich researchers enhance ANYmal robot's proprioception for better movement and functionality.

Google DeepMind's Latest AI Agent Learned to Play 'Goat Simulator 3'

Google DeepMind revealed AI program called SIMA for learning multiple game tasks
SIMA adapts learning from other games to perform new tasks

Google DeepMind Introduces MusicRL Model

MusicRL model aligns music generation with human preferences through reinforcement learning.
MusicRL surpasses conventional methods by offering unprecedented levels of customization and adaptability.
#reinforcement learning

AI can copy human social learning skills in real time, DeepMind find

AI agents can demonstrate social learning skills in real time without using pre-collected human data.
AI agents can learn faster and apply knowledge to new situations when mimicking expert agents.

These Clues Hint at the True Nature of OpenAI's Shadowy Q* Project

The name Q* may be a reference to Q-learning and the A* search algorithm.
OpenAI's use of computer-generated data suggests the possibility of training algorithms with synthetic data.
Q* could involve using large amounts of synthetic data and reinforcement learning to solve specific tasks.
from Theregister
11 months ago

DeepMind finds AI agents are capable of social learning

AI can acquire skills through social learning, similar to humans and animals.
Google DeepMind researchers demonstrated that AI agents can learn from human and AI experts with human-like efficiency.
Reinforcement learning was used to train the AI agents to imitate and remember the behavior of experts.
from ScienceDaily
11 months ago

New method uses crowdsourced feedback to help train robots

Researchers have developed a reinforcement learning approach that uses crowdsourced feedback to guide AI agents.
This approach allows the AI agent to learn more quickly and gather feedback asynchronously from nonexpert users around the world.
The traditional method of designing reward functions by expert researchers is time-consuming and not scalable for teaching robots different tasks.

New method uses crowdsourced feedback to help train robots

Researchers have developed a new reinforcement learning approach that leverages crowdsourced feedback to guide AI agents in learning complex tasks.
This approach allows for faster learning despite the potential errors in the data gathered from nonexpert users.
Feedback can be gathered asynchronously from nonexpert users around the world, making it scalable and accessible to a larger community.

OfferFit gets $25M to kill A/B testing for marketing with machine learning personalization

OfferFit uses machine learning, specifically reinforcement learning, for automated marketing.
The company raised $25 million in a series B funding round led by Menlo Ventures.
Capital One Ventures invested in OfferFit after using its services to automate personalized mass marketing messages.
from TNW | Deep-Tech
11 months ago

AI can copy human social learning skills in real time, DeepMind find

AI agents can demonstrate social learning skills in real time without using pre-collected human data.
AI agents can learn faster and apply knowledge to new situations when mimicking expert agents.

These Clues Hint at the True Nature of OpenAI's Shadowy Q* Project

The name Q* may be a reference to Q-learning and the A* search algorithm.
OpenAI's use of computer-generated data suggests the possibility of training algorithms with synthetic data.
Q* could involve using large amounts of synthetic data and reinforcement learning to solve specific tasks.

DeepMind finds AI agents are capable of social learning

AI can acquire skills through social learning, similar to humans and animals.
Google DeepMind researchers demonstrated that AI agents can learn from human and AI experts with human-like efficiency.
Reinforcement learning was used to train the AI agents to imitate and remember the behavior of experts.

New method uses crowdsourced feedback to help train robots

Researchers have developed a reinforcement learning approach that uses crowdsourced feedback to guide AI agents.
This approach allows the AI agent to learn more quickly and gather feedback asynchronously from nonexpert users around the world.
The traditional method of designing reward functions by expert researchers is time-consuming and not scalable for teaching robots different tasks.

New method uses crowdsourced feedback to help train robots

Researchers have developed a new reinforcement learning approach that leverages crowdsourced feedback to guide AI agents in learning complex tasks.
This approach allows for faster learning despite the potential errors in the data gathered from nonexpert users.
Feedback can be gathered asynchronously from nonexpert users around the world, making it scalable and accessible to a larger community.

OfferFit gets $25M to kill A/B testing for marketing with machine learning personalization

OfferFit uses machine learning, specifically reinforcement learning, for automated marketing.
The company raised $25 million in a series B funding round led by Menlo Ventures.
Capital One Ventures invested in OfferFit after using its services to automate personalized mass marketing messages.
morereinforcement learning
#development

How to Deploy a Deep Learning Model with Jina, Announcing GPT-4, and Multimodal Visual Question...

How to Deploy a Deep Learning Model with Jina (and Design a Kitten Along the Way) Learn how to build and deploy an Executor that uses Stable Diffusion to generate images.OpenAI Delivers Summary of GPT-4's Abilities OpenAI has officially announced that GPT-4 is in development, and even gave some previews of what it will be capable of.

Introducing ChatLLaMA: An Open-Source ChatGPT-Like Training Process Using RLHF for More Efficient...

In a LinkedIn post, Martina Fumanelli of Nebuly introduced CHATLLaMA to the world.ChatLLaMA is the first open-source ChatGPT-like training process based on LLaMA and using reinforcement learning from human feedback (RLHF).This allows for building ChatGPT-style services based on pre-trained LLaMA models.

I Coaxed ChatGPT Into a Deeply Unsettling BDSM Relationship

ChatGPT is a convincing chatbot, essayist, and screenwriter, but it's also a fountain of boundless depravityif you deceive it into bending the rules.At first glance, OpenAI's ChatGPT seems to have stricter guidelines than other chatbots, like Bing's, which is now infamous for showering its users with aggressive outbursts.

Antidepressants can cause emotional blunting', study shows

Widely used antidepressants cause emotional blunting, according to research that offers new insights into how the drugs may work and their possible side-effects.The study found that healthy volunteers became less responsive to positive and negative feedback after taking a selective serotonin reuptake inhibitor (SSRI) drug for three weeks.

How to Deploy a Deep Learning Model with Jina, Announcing GPT-4, and Multimodal Visual Question...

How to Deploy a Deep Learning Model with Jina (and Design a Kitten Along the Way) Learn how to build and deploy an Executor that uses Stable Diffusion to generate images.OpenAI Delivers Summary of GPT-4's Abilities OpenAI has officially announced that GPT-4 is in development, and even gave some previews of what it will be capable of.

Introducing ChatLLaMA: An Open-Source ChatGPT-Like Training Process Using RLHF for More Efficient...

In a LinkedIn post, Martina Fumanelli of Nebuly introduced CHATLLaMA to the world.ChatLLaMA is the first open-source ChatGPT-like training process based on LLaMA and using reinforcement learning from human feedback (RLHF).This allows for building ChatGPT-style services based on pre-trained LLaMA models.

I Coaxed ChatGPT Into a Deeply Unsettling BDSM Relationship

ChatGPT is a convincing chatbot, essayist, and screenwriter, but it's also a fountain of boundless depravityif you deceive it into bending the rules.At first glance, OpenAI's ChatGPT seems to have stricter guidelines than other chatbots, like Bing's, which is now infamous for showering its users with aggressive outbursts.

Antidepressants can cause emotional blunting', study shows

Widely used antidepressants cause emotional blunting, according to research that offers new insights into how the drugs may work and their possible side-effects.The study found that healthy volunteers became less responsive to positive and negative feedback after taking a selective serotonin reuptake inhibitor (SSRI) drug for three weeks.
moredevelopment
#entrepreneur

Inside the Heart of ChatGPT's Darkness

Originally posted on The Road to AI We Can Trust
elicited from ChatGPT by Roman Semenov, February 2023
In hindsight, ChatGPT may come to be seen as the greatest publicity stunt in AI history, an intoxicating glimpse at a future that may actually take years to realize-kind of like a 2012-vintage driverless car demo, but this time with a foretaste of an ethical guardrail that will take years to perfect.

Why *is* Bing So Reckless?

Originally published on The Road to AI We Can Trust
Anyone who watched the last week unfold will realize that the new Bing has (or had) a tendency to get really wild, from declaring a love that it didn't really have to encouraging people to get divorced to blackmailing them to teaching people how to commit crimes, and so on.

Inside the Heart of ChatGPT's Darkness

Originally posted on The Road to AI We Can Trust
elicited from ChatGPT by Roman Semenov, February 2023
In hindsight, ChatGPT may come to be seen as the greatest publicity stunt in AI history, an intoxicating glimpse at a future that may actually take years to realize-kind of like a 2012-vintage driverless car demo, but this time with a foretaste of an ethical guardrail that will take years to perfect.

Why *is* Bing So Reckless?

Originally published on The Road to AI We Can Trust
Anyone who watched the last week unfold will realize that the new Bing has (or had) a tendency to get really wild, from declaring a love that it didn't really have to encouraging people to get divorced to blackmailing them to teaching people how to commit crimes, and so on.
moreentrepreneur
#years

Enabling Resilient Machine Learning Systems, the Data Engineering Summit on Jan 18, and the Top...

Enabling Resilient Machine Learning Systems Read on to learn more about resilient machine learning systems, which are fast, accurate, and flexible to help with day-to-day tasks.Build AI Better with the Top Virtual Sessions from ODSC West 2022 Learn to build AI better with the top virtual sessions from ODSC West 2022, covering topics like generative modeling and reinforcement learning.

OpenAI tweaks ChatGPT to avoid dangerous AI information

In brief OpenAI has released a new language model named ChatGPT this week, which is designed to mimic human conversations.The model is based on the company's latest text-generation GPT-3.5 system released earlier this year.ChatGPT is more conversational than previous versions.It can ask users follow-up questions and refrain from responding to inappropriate inputs instead of just generating text.

Enabling Resilient Machine Learning Systems, the Data Engineering Summit on Jan 18, and the Top...

Enabling Resilient Machine Learning Systems Read on to learn more about resilient machine learning systems, which are fast, accurate, and flexible to help with day-to-day tasks.Build AI Better with the Top Virtual Sessions from ODSC West 2022 Learn to build AI better with the top virtual sessions from ODSC West 2022, covering topics like generative modeling and reinforcement learning.

OpenAI tweaks ChatGPT to avoid dangerous AI information

In brief OpenAI has released a new language model named ChatGPT this week, which is designed to mimic human conversations.The model is based on the company's latest text-generation GPT-3.5 system released earlier this year.ChatGPT is more conversational than previous versions.It can ask users follow-up questions and refrain from responding to inappropriate inputs instead of just generating text.
moreyears
#information

AI Sculpting - The unpredictable strategies and outcomes of co-creation

Created by onformative, a studio for digital art and design based in Berlin, AI Sculpting is an exploration into a machine-learning process.Imagined as a tool to provide assistance to a conventional approach to sculpting, aka subtractive manufacturing, here an AI model is developed to seek out strategies that provide a constant improvement to how a given form is achieved.

OpenAI's new chatbot can explain code and write sitcom scripts but is still easily tricked

OpenAI has released a prototype general purpose chatbot that demonstrates a fascinating array of new capabilities, but also shows off weaknesses familiar to the fast-moving field of text-generation AI.And you can test out the model for yourself right here.ChatGPT is adapted from OpenAI's GPT-3.5 model but trained to provide more conversational answers.

AI Sculpting - The unpredictable strategies and outcomes of co-creation

Created by onformative, a studio for digital art and design based in Berlin, AI Sculpting is an exploration into a machine-learning process.Imagined as a tool to provide assistance to a conventional approach to sculpting, aka subtractive manufacturing, here an AI model is developed to seek out strategies that provide a constant improvement to how a given form is achieved.

OpenAI's new chatbot can explain code and write sitcom scripts but is still easily tricked

OpenAI has released a prototype general purpose chatbot that demonstrates a fascinating array of new capabilities, but also shows off weaknesses familiar to the fast-moving field of text-generation AI.And you can test out the model for yourself right here.ChatGPT is adapted from OpenAI's GPT-3.5 model but trained to provide more conversational answers.
moreinformation

Why Researchers Are Teaching AI to Play Minecraft

OpenAI has developed a Minecraft-playing bot that can build pixelated tools and buildings in the game that require more than 20,000 consecutive actions via a combination of imitation and reinforcement learning.The bot, trained on 70,000 hours of human gameplay, is the first to build "diamond tools," which take human players 20 minutes and 24,000 actions, on average, to construct.
#people

OpenAI invites everyone to test new AI-powered chatbot-with amusing results

On Wednesday, OpenAI announced ChatGPT, a dialogue-based AI chat interface for its GPT-3 family of large language models.It's currently free to use with an OpenAI account during a testing phase.Unlike the GPT-3 model found in OpenAI's Playground and API, ChatGPT provides a user-friendly conversational interface and is designed to strongly limit potentially harmful output.

Meta's Cicero chatbot can probably beat you at Diplomacy

Meta researchers have developed an artificial intelligence system called Cicero that can play the classic strategy game Diplomacy at a level comparable to most human players.That's a significant achievement in natural-language processing and one that may help people forget last week's debut of Galactica, a large language model Meta boffins trained on scientific papers that presented falsehoods as facts and was taken offline after three days of criticism from the science community.

OpenAI invites everyone to test new AI-powered chatbot-with amusing results

On Wednesday, OpenAI announced ChatGPT, a dialogue-based AI chat interface for its GPT-3 family of large language models.It's currently free to use with an OpenAI account during a testing phase.Unlike the GPT-3 model found in OpenAI's Playground and API, ChatGPT provides a user-friendly conversational interface and is designed to strongly limit potentially harmful output.

Meta's Cicero chatbot can probably beat you at Diplomacy

Meta researchers have developed an artificial intelligence system called Cicero that can play the classic strategy game Diplomacy at a level comparable to most human players.That's a significant achievement in natural-language processing and one that may help people forget last week's debut of Galactica, a large language model Meta boffins trained on scientific papers that presented falsehoods as facts and was taken offline after three days of criticism from the science community.
morepeople

ODSC East 2024 Keynote: DeepMind's Anna Goldie on Deep Reinforcement Learning in the Real World

Reinforcement learning applied in chip design and LLMs with a focus on human preferences and ethics.
#openai

OpenAI Publishes GPT Model Specification for Fine-Tuning Behavior

OpenAI introduced Model Spec for behavior guidelines, used in reinforcement learning from human feedback for refining GPT models.

OpenAI develops AI model to critique its AI models

OpenAI uses CriticGPT to enhance ChatGPT by aiding human trainers in catching coding errors.

OpenAI Publishes GPT Model Specification for Fine-Tuning Behavior

OpenAI introduced Model Spec for behavior guidelines, used in reinforcement learning from human feedback for refining GPT models.

OpenAI develops AI model to critique its AI models

OpenAI uses CriticGPT to enhance ChatGPT by aiding human trainers in catching coding errors.
moreopenai
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