#prompt-engineering

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#machine-learning

How To Write AI Art Prompts That Deliver (2024) - Shopify

AI art generators simplify creating digital art through user-friendly prompts, enhancing creativity in various tasks.

Key Takeaways from Our Ablation Studies on LLMs | HackerNoon

Meta-prompt design is critical for improving optimization performance in large language models.

Optimizing Prompts with LLMs: Key Findings and Future Directions | HackerNoon

LLMs can effectively function as optimizers by progressively generating improved solutions for objective functions.

Optimizing Scoring Models: Effective Prompting Formats | HackerNoon

Eliminating the 'QA' pattern through specific prompting formats improves model performance in instruction-tuning.

How To Write AI Art Prompts That Deliver (2024) - Shopify

AI art generators simplify creating digital art through user-friendly prompts, enhancing creativity in various tasks.

Key Takeaways from Our Ablation Studies on LLMs | HackerNoon

Meta-prompt design is critical for improving optimization performance in large language models.

Optimizing Prompts with LLMs: Key Findings and Future Directions | HackerNoon

LLMs can effectively function as optimizers by progressively generating improved solutions for objective functions.

Optimizing Scoring Models: Effective Prompting Formats | HackerNoon

Eliminating the 'QA' pattern through specific prompting formats improves model performance in instruction-tuning.
moremachine-learning
#natural-language-processing

Chatbots in science: What can ChatGPT do for you?

Effective use of AI chatbots in science relies on good prompt engineering.

Mind Your Manners: How Politeness Can Make AI Smarter

Politeness in prompts significantly affects AI response quality, making it clearer and more accurate.

Chatbots in science: What can ChatGPT do for you?

Effective use of AI chatbots in science relies on good prompt engineering.

Mind Your Manners: How Politeness Can Make AI Smarter

Politeness in prompts significantly affects AI response quality, making it clearer and more accurate.
morenatural-language-processing
#generative-ai

NVIDIA GTC 2024: CEO Jensen Huang's Predictions About the Future of Prompt Engineering

NVIDIA aims to make enterprise AI deployment easier and more widely applicable with AI Enterprise 5.0 and NVIDIA Inference Microservices.
Jensen Huang emphasizes the importance of prompt engineering, stating that programming may not be essential for success in the age of generative AI prompts.

Exclusive: Get '90 to 95% ahead of everybody else' in AI skills with this new Google AI prompting course

Understanding generative AI skills enhances productivity, leading to career growth and higher salaries.
Google's new course, Prompting Essentials, aims to break barriers in using AI proficiency.

Making AI better at solving problems in coding competitions

Commercial large language models' problem-solving abilities can be enhanced through prompt engineering.
AlphaCodium uses flow engineering to guide large AI models like GPT-4 in solving programming problems.

How publishing execs are incorporating generative AI tools into their workflows

Generative AI is transforming workflows in publishing, emphasizing the critical skill of prompt engineering for effective tool utilization.

A Deep Dive into Building Enterprise grade Generative AI Solutions - SitePoint

Generative AI is reshaping enterprise solutions and driving significant investment from businesses in 2024.

Article Series: Practical Applications of Generative AI

Generative AI automates complex tasks but comes with significant risks and challenges that need addressing.
Using GenAI requires understanding its capabilities while being cautious of its potential to generate false information.

NVIDIA GTC 2024: CEO Jensen Huang's Predictions About the Future of Prompt Engineering

NVIDIA aims to make enterprise AI deployment easier and more widely applicable with AI Enterprise 5.0 and NVIDIA Inference Microservices.
Jensen Huang emphasizes the importance of prompt engineering, stating that programming may not be essential for success in the age of generative AI prompts.

Exclusive: Get '90 to 95% ahead of everybody else' in AI skills with this new Google AI prompting course

Understanding generative AI skills enhances productivity, leading to career growth and higher salaries.
Google's new course, Prompting Essentials, aims to break barriers in using AI proficiency.

Making AI better at solving problems in coding competitions

Commercial large language models' problem-solving abilities can be enhanced through prompt engineering.
AlphaCodium uses flow engineering to guide large AI models like GPT-4 in solving programming problems.

How publishing execs are incorporating generative AI tools into their workflows

Generative AI is transforming workflows in publishing, emphasizing the critical skill of prompt engineering for effective tool utilization.

A Deep Dive into Building Enterprise grade Generative AI Solutions - SitePoint

Generative AI is reshaping enterprise solutions and driving significant investment from businesses in 2024.

Article Series: Practical Applications of Generative AI

Generative AI automates complex tasks but comes with significant risks and challenges that need addressing.
Using GenAI requires understanding its capabilities while being cautious of its potential to generate false information.
moregenerative-ai

The Ultimate Guide To Writing ChatGPT Prompts That Work

Specific prompts maximize ChatGPT's potential; vague instructions yield poor results.
#ai

Meta Introduces 'Prompt Engineering with Llama 2'

The interactive guide called Prompt Engineering with Llama 2 is designed to elevate the skills of developers, researchers, and enthusiasts in working with large language models like Llama 2.
The guide provides hands-on experience in prompt engineering, which involves crafting inputs that effectively guide language models to produce desired outputs.

How To Make Money From Home With AI: 5 Proven Ideas To Get You Started

AI presents an opportunity to create new income streams and transform career paths by leveraging technology effectively.

Manipulating The Machine: Prompt Injections and Countermeasures

Prompt injections pose significant risks in AI usage, necessitating understanding and defenses against them.

From Prototype to Production: Mastering LLMOps, Prompt Engineering, and Cloud Deployments

Working with large language models has become more accessible due to advancements in API technology.
Transitioning LLMs from prototypes to production requires careful attention to optimization and maintenance.

Prompt Chemistry: Building "Word Catalysts" to Optimize LLMs

The evolution in prompt design enhances AI engagement, viewing prompts as compounds that deepen cognitive interactions.

The HackerNoon Newsletter: Explaining Prompt Engineering (11/15/2024) | HackerNoon

Snowden's possible return ignites debate on ethics and national security.
Prompt engineering is vital for improving AI interactions and user experience.

Meta Introduces 'Prompt Engineering with Llama 2'

The interactive guide called Prompt Engineering with Llama 2 is designed to elevate the skills of developers, researchers, and enthusiasts in working with large language models like Llama 2.
The guide provides hands-on experience in prompt engineering, which involves crafting inputs that effectively guide language models to produce desired outputs.

How To Make Money From Home With AI: 5 Proven Ideas To Get You Started

AI presents an opportunity to create new income streams and transform career paths by leveraging technology effectively.

Manipulating The Machine: Prompt Injections and Countermeasures

Prompt injections pose significant risks in AI usage, necessitating understanding and defenses against them.

From Prototype to Production: Mastering LLMOps, Prompt Engineering, and Cloud Deployments

Working with large language models has become more accessible due to advancements in API technology.
Transitioning LLMs from prototypes to production requires careful attention to optimization and maintenance.

Prompt Chemistry: Building "Word Catalysts" to Optimize LLMs

The evolution in prompt design enhances AI engagement, viewing prompts as compounds that deepen cognitive interactions.

The HackerNoon Newsletter: Explaining Prompt Engineering (11/15/2024) | HackerNoon

Snowden's possible return ignites debate on ethics and national security.
Prompt engineering is vital for improving AI interactions and user experience.
moreai

How I used AI to design brand-aligned illustrations

Refining prompts iteratively enhances illustration consistency and style capture.
Using familiar iconic objects aids in accurate evaluation of AI output.
Specific compositional guidelines lead to cohesive brand illustrations.
#image-generation

Turn ChatGPT Into a Prompt Engineering Machine

Mastering prompt engineering enhances AI project outcomes by leveraging detailed instructions and clear objectives.
Effective prompts can significantly improve the quality and relevance of AI-generated content.

The ultimate guide to improving AI-generated images

AI image generation requires a strategic and specific approach to achieve desired results.
Experimentation and mixing elements in prompts can lead to unique creative outcomes.

Turn ChatGPT Into a Prompt Engineering Machine

Mastering prompt engineering enhances AI project outcomes by leveraging detailed instructions and clear objectives.
Effective prompts can significantly improve the quality and relevance of AI-generated content.

The ultimate guide to improving AI-generated images

AI image generation requires a strategic and specific approach to achieve desired results.
Experimentation and mixing elements in prompts can lead to unique creative outcomes.
moreimage-generation
#large-language-models

Meta Introduces 'Prompt Engineering with Llama 2'

The guide 'Prompt Engineering with Llama 2' by Meta AI aims to enhance skills in prompt engineering for large language models.
The guide is structured as a Jupyter Notebook and focuses on selecting the right prompts, understanding model responses, and optimizing inputs for desired results.

AI Prompt Engineering Is Dead

Prompt engineering is widely used to optimize interactions with large language models like ChatGPT.
There is debate whether prompt engineering should be done by humans or the model itself.

Virtual Panel: What to Consider when Adopting Large Language Models

API solutions offer speed for iteration; self-hosted models may provide better cost and privacy benefits long-term.
Prompt engineering and RAG should be prioritized before model fine-tuning.
Smaller open models can be effective alternatives to large closed models for many tasks.
Mitigating hallucinations in LLMs can be accomplished using trustworthy sources with RAG.
Employee education on LLMs' capabilities and limitations is essential for successful adoption.

Incorporating Domain Knowledge Into LLMs so It Can Give You The Answers You're Looking For | HackerNoon

Incorporating domain knowledge into LLMs ensures more accurate and relevant responses.

3 Research-Driven Advanced Prompting Techniques for LLM Efficiency and Speed Optimization - KDnuggets

Large language models (LLMs) like OpenAI's GPT and Mistral's Mixtral are being widely used for AI-powered applications.
Factually incorrect information, known as hallucinations, can occur when working with LLMs due to prompts and biases in training the models.

Mastering Prompt Engineering For Large-Language Models:-

Prompt engineering is crucial for enhancing large language models by optimizing prompts to guide them in generating desired outputs.

Meta Introduces 'Prompt Engineering with Llama 2'

The guide 'Prompt Engineering with Llama 2' by Meta AI aims to enhance skills in prompt engineering for large language models.
The guide is structured as a Jupyter Notebook and focuses on selecting the right prompts, understanding model responses, and optimizing inputs for desired results.

AI Prompt Engineering Is Dead

Prompt engineering is widely used to optimize interactions with large language models like ChatGPT.
There is debate whether prompt engineering should be done by humans or the model itself.

Virtual Panel: What to Consider when Adopting Large Language Models

API solutions offer speed for iteration; self-hosted models may provide better cost and privacy benefits long-term.
Prompt engineering and RAG should be prioritized before model fine-tuning.
Smaller open models can be effective alternatives to large closed models for many tasks.
Mitigating hallucinations in LLMs can be accomplished using trustworthy sources with RAG.
Employee education on LLMs' capabilities and limitations is essential for successful adoption.

Incorporating Domain Knowledge Into LLMs so It Can Give You The Answers You're Looking For | HackerNoon

Incorporating domain knowledge into LLMs ensures more accurate and relevant responses.

3 Research-Driven Advanced Prompting Techniques for LLM Efficiency and Speed Optimization - KDnuggets

Large language models (LLMs) like OpenAI's GPT and Mistral's Mixtral are being widely used for AI-powered applications.
Factually incorrect information, known as hallucinations, can occur when working with LLMs due to prompts and biases in training the models.

Mastering Prompt Engineering For Large-Language Models:-

Prompt engineering is crucial for enhancing large language models by optimizing prompts to guide them in generating desired outputs.
morelarge-language-models

How Overfitting Affects Prompt Optimization | HackerNoon

The key idea of OPRO is using LLMs for optimization, balancing training and validation accuracy in prompt optimization.
#ai-customization

How to prompt better responses from private, federal ChatGPTs

Customizing mini-GPTs for specific tasks helps avoid common AI drawbacks like biased or incorrect results.
Prompt engineering is crucial for training an AI to understand specific queries and provide accurate answers.

5 ways to start using Gems in your workflows, according to Google

Custom AI assistants help tailor chatbots for user needs with minimal coding knowledge required.

How to prompt better responses from private, federal ChatGPTs

Customizing mini-GPTs for specific tasks helps avoid common AI drawbacks like biased or incorrect results.
Prompt engineering is crucial for training an AI to understand specific queries and provide accurate answers.

5 ways to start using Gems in your workflows, according to Google

Custom AI assistants help tailor chatbots for user needs with minimal coding knowledge required.
moreai-customization

Hackers could dupe Slack's AI features to expose private channel messages

Slack's AI tool can be exploited to leak sensitive data from private channels via prompt engineering attacks, raising urgent security concerns.

Prompts should be designed-not engineered

A wire prompt is engineered to complete a job, while a cloth prompt is designed to provide a fluid and supportive user experience.
Prompting sophistication comes from understanding user attitudes and behaviors, essential in conversational experiences.
#chatbots

6 Prompt Engineering Use Cases That Employers are Looking For

Prompt engineering job descriptions often involve building question-answering tools, chatbots, and customer service applications.
The use cases for prompt engineering are expanding, with new applications emerging as the field grows in 2024.

6 Prompt Engineering Use Cases That Employers are Looking For

Prominent prompt engineering job description use cases include creating question-answering tools, chatbots, conversational AI, recommender systems, and customer service applications. More use cases will emerge as the field expands in 2024.
Prompt engineering enables the development of chatbots that carry out natural, interactive conversations, understand humor, empathize with users, and solve problems creatively.

Prompt engineering is a task best left to AI models

Prompt engineering is crucial for improving chatbot responses.
Positive thinking prompts can enhance model performance, but testing them scientifically is computationally challenging.

6 Prompt Engineering Use Cases That Employers are Looking For

Prompt engineering job descriptions often involve building question-answering tools, chatbots, and customer service applications.
The use cases for prompt engineering are expanding, with new applications emerging as the field grows in 2024.

6 Prompt Engineering Use Cases That Employers are Looking For

Prominent prompt engineering job description use cases include creating question-answering tools, chatbots, conversational AI, recommender systems, and customer service applications. More use cases will emerge as the field expands in 2024.
Prompt engineering enables the development of chatbots that carry out natural, interactive conversations, understand humor, empathize with users, and solve problems creatively.

Prompt engineering is a task best left to AI models

Prompt engineering is crucial for improving chatbot responses.
Positive thinking prompts can enhance model performance, but testing them scientifically is computationally challenging.
morechatbots

Microsoft Shares Lessons Learned on Building AI Copilots

Developers face challenges in integrating AI into projects and struggle to keep up with best practices.
Prompt engineering is a significant challenge in building AI-powered product copilots.

Meta Introduces 'Prompt Engineering with Llama 2'

Meta AI has introduced an interactive guide called 'Prompt Engineering with Llama 2' to elevate the skills of developers, researchers, and enthusiasts in the domain of large language models
The guide provides hands-on experience in prompt engineering, which involves crafting inputs to guide language models to produce desired outputs

No, You Don't Want to be a Prompt Engineer - DevOps.com

Prompt engineering is a skill that involves getting AI to produce desired results, and it became popular in various industries.
AI tools have made it possible for less technical people to generate similar quality results as more skilled individuals.

Webinar: Prompt Engineering Unlocked

Learn how to effectively craft prompts for AI language models to enhance content creation, research, and productivity.
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