Unraveling Large Language Model HallucinationsLLMs exhibit hallucinations where they produce plausible yet false information, stemming from their predictive nature based on training data.
LLaDA: The Diffusion Model That Could Redefine Language GenerationLLaDA introduces a new way of text generation that resembles human thought processes by refining masked text progressively.
This Is How LLMs Break Down the LanguageTokenization is crucial for language models, enabling them to process and generate text effectively.
LLM + RAG: Creating an AI-Powered File Reader AssistantAI simplifies daily tasks, enhancing productivity through tools like chatbots and LLMs.
What is synthetic data?Synthetic data can address the data shortage crisis by providing artificial datasets that mimic real data.Advancements in AI, particularly with large language models, are transforming how synthetic data is created.
Cool Site Shows Exactly Which Books Zuckerberg's Minions Illegally Downloaded to Train Meta's AIAI promises revolutionary change but demands excessive energy and data, straining both finances and ethical considerations.
Unraveling Large Language Model HallucinationsLLMs exhibit hallucinations where they produce plausible yet false information, stemming from their predictive nature based on training data.
LLaDA: The Diffusion Model That Could Redefine Language GenerationLLaDA introduces a new way of text generation that resembles human thought processes by refining masked text progressively.
This Is How LLMs Break Down the LanguageTokenization is crucial for language models, enabling them to process and generate text effectively.
LLM + RAG: Creating an AI-Powered File Reader AssistantAI simplifies daily tasks, enhancing productivity through tools like chatbots and LLMs.
What is synthetic data?Synthetic data can address the data shortage crisis by providing artificial datasets that mimic real data.Advancements in AI, particularly with large language models, are transforming how synthetic data is created.
Cool Site Shows Exactly Which Books Zuckerberg's Minions Illegally Downloaded to Train Meta's AIAI promises revolutionary change but demands excessive energy and data, straining both finances and ethical considerations.
DeepSeek R1: Hype vs. Reality-A Deeper Look at AI's Latest DisruptionDeepSeek R1's launch signals a major evolution in large language models, demonstrating unique training methods and competitive advantages over existing models.
Formulation of Feature Circuits with Sparse Autoencoders in LLMSparse Autoencoders can help interpret Large Language Models despite challenges posed by superposition.Feature circuits in neural networks illustrate how input features combine to form complex patterns.
Do Large Language Models Have an Internal Understanding of the World? | HackerNoonLLMs may lack world models necessary for understanding real-world dynamics and language generation.
How LLMs Work: Pre-Training to Post-Training, Neural Networks, Hallucinations, and InferenceLarge language models (LLMs) are built through extensive pre-training and post-training phases, focusing on understanding language through massive datasets.
Rethinking AI Quantization: The Missing Piece in Model Efficiency | HackerNoonQuantum strategies optimize LLM precision while balancing accuracy and effectiveness through methods like post-training quantization and quantization-aware training.
Hugging Face Publishes Guide on Efficient LLM Training Across GPUsHugging Face's Ultra-Scale Playbook offers an open-source guide for efficiently training large language models on GPU clusters.
DeepSeek R1: Hype vs. Reality-A Deeper Look at AI's Latest DisruptionDeepSeek R1's launch signals a major evolution in large language models, demonstrating unique training methods and competitive advantages over existing models.
Formulation of Feature Circuits with Sparse Autoencoders in LLMSparse Autoencoders can help interpret Large Language Models despite challenges posed by superposition.Feature circuits in neural networks illustrate how input features combine to form complex patterns.
Do Large Language Models Have an Internal Understanding of the World? | HackerNoonLLMs may lack world models necessary for understanding real-world dynamics and language generation.
How LLMs Work: Pre-Training to Post-Training, Neural Networks, Hallucinations, and InferenceLarge language models (LLMs) are built through extensive pre-training and post-training phases, focusing on understanding language through massive datasets.
Rethinking AI Quantization: The Missing Piece in Model Efficiency | HackerNoonQuantum strategies optimize LLM precision while balancing accuracy and effectiveness through methods like post-training quantization and quantization-aware training.
Hugging Face Publishes Guide on Efficient LLM Training Across GPUsHugging Face's Ultra-Scale Playbook offers an open-source guide for efficiently training large language models on GPU clusters.
Think-and-Execute: The Experimental Details | HackerNoonThe study uses various large language models (LLMs) for experimental tasks, emphasizing differences in performance and inference times.
Large language models: The foundations of generative AILarge language models are essential for generative AI and expected to see rapid market growth.
AI's Energy Dilemma: Can LLMs Optimize Their Own Power Consumption? | HackerNoonGenerative AI's energy consumption raises sustainability concerns, prompting the need for improvements in efficiency and self-optimization.
5 ways to use generative AI more safely - and effectivelyTo safely use generative AI, provide clearer instructions to improve response accuracy.
How a Software Architect Uses Artificial Intelligence in His Daily WorkGenerative AI and LLMs enhance software architecture, but human architects who understand their limitations will be crucial in the future.
How we test AI at ZDNET in 2025AI has become ubiquitous across devices and industries since the launch of ChatGPT in 2022.In-depth evaluations of AI products are vital due to the nascent state of large language models.
3 Actions To Make You Ready For The Answer Economy.The traditional search market is being revolutionized by generative AI and large language models, creating an 'Answer Economy' that enhances user interaction.
Large language models: The foundations of generative AILarge language models are essential for generative AI and expected to see rapid market growth.
AI's Energy Dilemma: Can LLMs Optimize Their Own Power Consumption? | HackerNoonGenerative AI's energy consumption raises sustainability concerns, prompting the need for improvements in efficiency and self-optimization.
5 ways to use generative AI more safely - and effectivelyTo safely use generative AI, provide clearer instructions to improve response accuracy.
How a Software Architect Uses Artificial Intelligence in His Daily WorkGenerative AI and LLMs enhance software architecture, but human architects who understand their limitations will be crucial in the future.
How we test AI at ZDNET in 2025AI has become ubiquitous across devices and industries since the launch of ChatGPT in 2022.In-depth evaluations of AI products are vital due to the nascent state of large language models.
3 Actions To Make You Ready For The Answer Economy.The traditional search market is being revolutionized by generative AI and large language models, creating an 'Answer Economy' that enhances user interaction.
Dapr Agents: Scalable AI Workflows with LLMs, Kubernetes & Multi-Agent CoordinationDapr Agents framework enables scalable and resilient AI agents using LLMs, enhancing reliability and multi-agent coordination.
Orchid Security Raises $36M to Transform Enterprise Identity Management with AIOrchid Security simplifies identity management for enterprises with its innovative platform, addressing complex security challenges.
Dapr Agents: Scalable AI Workflows with LLMs, Kubernetes & Multi-Agent CoordinationDapr Agents framework enables scalable and resilient AI agents using LLMs, enhancing reliability and multi-agent coordination.
Orchid Security Raises $36M to Transform Enterprise Identity Management with AIOrchid Security simplifies identity management for enterprises with its innovative platform, addressing complex security challenges.
AI's Power to Pace LearningAI enhances education by enabling control over learning speeds for deeper understanding, not just rapid knowledge acquisition.
Can AI Outthink Our Silence?AI transforms deep thought, shifting from solitude to interactive introspection.LLMs reveal biases and refine ideas, serving as cognitive mirrors.
AI's Growing Waste Problem-and How to Solve ItAI has potential to solve sustainability challenges, but its environmental impact could diminish these benefits.
Inception emerges from stealth with a new type of AI model | TechCrunchInception's diffusion-based model enables faster text generation, reducing computing costs compared to traditional large language models.
How to run DeepSeek AI locally to protect your privacy - 2 easy waysDeepSeek is a promising AI startup providing powerful language models at lower costs than US competitors.
Comet Announces Open-source LLM Evaluation Framework OpikOpik provides an advanced platform for evaluating large language models, addressing critical evaluation needs across development and production stages.
AI's Power to Pace LearningAI enhances education by enabling control over learning speeds for deeper understanding, not just rapid knowledge acquisition.
Can AI Outthink Our Silence?AI transforms deep thought, shifting from solitude to interactive introspection.LLMs reveal biases and refine ideas, serving as cognitive mirrors.
AI's Growing Waste Problem-and How to Solve ItAI has potential to solve sustainability challenges, but its environmental impact could diminish these benefits.
Inception emerges from stealth with a new type of AI model | TechCrunchInception's diffusion-based model enables faster text generation, reducing computing costs compared to traditional large language models.
How to run DeepSeek AI locally to protect your privacy - 2 easy waysDeepSeek is a promising AI startup providing powerful language models at lower costs than US competitors.
Comet Announces Open-source LLM Evaluation Framework OpikOpik provides an advanced platform for evaluating large language models, addressing critical evaluation needs across development and production stages.
Chat with your data: How 4 genAI tools stack upAI tools vary in effectiveness for retrieving specific information from social media and structured data sources.Claude and NotebookLM performed better in targeted searches than ChatGPT and Perplexity.Challenges of navigating extensive datasets highlight real-world applications in demographic research.
I Tried Making my Own (Bad) LLM Benchmark to Cheat in Escape RoomsDeepSeek's R1 model could change the landscape of LLMs with its cost-effective performance and open-source nature.
Chat with your data: How 4 genAI tools stack upAI tools vary in effectiveness for retrieving specific information from social media and structured data sources.Claude and NotebookLM performed better in targeted searches than ChatGPT and Perplexity.Challenges of navigating extensive datasets highlight real-world applications in demographic research.
I Tried Making my Own (Bad) LLM Benchmark to Cheat in Escape RoomsDeepSeek's R1 model could change the landscape of LLMs with its cost-effective performance and open-source nature.
AI can give you code but not communityThe decline of Q&A sites like Stack Overflow threatens the human expertise crucial for the training of large language models.
How to Train LLMs to Think (o1 & DeepSeek-R1)OpenAI's o1 model uses thinking tokens to improve reasoning in language models, enhancing performance with more generated tokens.
How LLMs Work: Reinforcement Learning, RLHF, DeepSeek R1, OpenAI o1, AlphaGo | Towards Data ScienceReinforcement Learning (RL) is crucial in training LLMs by allowing them to learn from their own generated outputs.
El Reg digs its claws into Alibaba's QwQReinforcement learning can significantly improve the performance of smaller language models like QwQ.QwQ is designed to outperform larger models in specific benchmarks despite its smaller size.
How to Train LLMs to Think (o1 & DeepSeek-R1)OpenAI's o1 model uses thinking tokens to improve reasoning in language models, enhancing performance with more generated tokens.
How LLMs Work: Reinforcement Learning, RLHF, DeepSeek R1, OpenAI o1, AlphaGo | Towards Data ScienceReinforcement Learning (RL) is crucial in training LLMs by allowing them to learn from their own generated outputs.
El Reg digs its claws into Alibaba's QwQReinforcement learning can significantly improve the performance of smaller language models like QwQ.QwQ is designed to outperform larger models in specific benchmarks despite its smaller size.
Learning from AI's BullshitModern AI, including LLMs, often provide unreliable outputs due to their indifference to truth, leading to philosophical discussions about their nature.
Foxconn unveils FoxBrain: competition for DeepSeekFoxconn's FoxBrain LLM aims to revolutionize manufacturing and supply chains in Taiwan with advanced AI capabilities.
GPT-4 faces a challenger: Can Writer's finance-focused LLM take the lead in banking? - TearsheetBanks are investing in LLMs for operations and customer interaction, but challenges remain due to inaccuracies in 'thinking' models.
Foxconn unveils FoxBrain: competition for DeepSeekFoxconn's FoxBrain LLM aims to revolutionize manufacturing and supply chains in Taiwan with advanced AI capabilities.
GPT-4 faces a challenger: Can Writer's finance-focused LLM take the lead in banking? - TearsheetBanks are investing in LLMs for operations and customer interaction, but challenges remain due to inaccuracies in 'thinking' models.
Adapt Or Fade: Crafting A New SEO Playbook For The Era Of LLMsSEO is evolving; expertise and trustworthiness in content are essential for relevance.Large language models are changing how users search for information, potentially overshadowing traditional search engines.
Council Post: GEO Is The Next SEO (And Why You Can't Ignore It)Generative Engine Optimization (GEO) will redefine content marketing by optimizing for large language models like ChatGPT and Gemini.
Adapt Or Fade: Crafting A New SEO Playbook For The Era Of LLMsSEO is evolving; expertise and trustworthiness in content are essential for relevance.Large language models are changing how users search for information, potentially overshadowing traditional search engines.
Council Post: GEO Is The Next SEO (And Why You Can't Ignore It)Generative Engine Optimization (GEO) will redefine content marketing by optimizing for large language models like ChatGPT and Gemini.
12,000+ API Keys and Passwords Found in Public Datasets Used for LLM TrainingHard-coded credentials in datasets pose severe security risks for users and organizations.Large language models may amplify insecure coding practices due to the presence of live secrets in training data.
GitLab Launches Support for Self-Hosted AI PlatformsGitLab 17.9 enhances user experience by introducing self-hosted LLM capabilities for improved data control and compliance.
12,000+ API Keys and Passwords Found in Public Datasets Used for LLM TrainingHard-coded credentials in datasets pose severe security risks for users and organizations.Large language models may amplify insecure coding practices due to the presence of live secrets in training data.
GitLab Launches Support for Self-Hosted AI PlatformsGitLab 17.9 enhances user experience by introducing self-hosted LLM capabilities for improved data control and compliance.
The Future of AI Compression: Smarter Quantization Strategies | HackerNoonImpact-based parameter selection outperforms magnitude-based criteria in improving quantization for language models.
The Hidden Power of "Cherry" Parameters in Large Language Models | HackerNoonParameter heterogeneity in LLMs shows that a small number of parameters greatly influence performance, leading to the development of the CherryQ quantization method.
The Future of AI Compression: Smarter Quantization Strategies | HackerNoonImpact-based parameter selection outperforms magnitude-based criteria in improving quantization for language models.
The Hidden Power of "Cherry" Parameters in Large Language Models | HackerNoonParameter heterogeneity in LLMs shows that a small number of parameters greatly influence performance, leading to the development of the CherryQ quantization method.
How Large Language Models Impact Data Security in RAG Applications | HackerNoonData security is crucial when utilizing Large Language Models in enterprises due to privacy concerns and varying provider practices.
You Should Try a Local LLM Model: Here's How to Get Started | HackerNoonIntegrating local LLMs like LLaMA into Obsidian enhances privacy and control over data.
How Large Language Models Impact Data Security in RAG Applications | HackerNoonData security is crucial when utilizing Large Language Models in enterprises due to privacy concerns and varying provider practices.
You Should Try a Local LLM Model: Here's How to Get Started | HackerNoonIntegrating local LLMs like LLaMA into Obsidian enhances privacy and control over data.
Mistral's new OCR API turns any PDF document into an AI-ready Markdown file | TechCrunchMistral OCR enables conversion of complex PDF documents into text, enhancing access for AI models.
Buzzy French AI startup Mistral isn't for sale and plans to IPO, its CEO saysMistral, Europe's leading AI startup, opts for an IPO instead of a sale to grow independently.
Mistral's new OCR API turns any PDF document into an AI-ready Markdown file | TechCrunchMistral OCR enables conversion of complex PDF documents into text, enhancing access for AI models.
Buzzy French AI startup Mistral isn't for sale and plans to IPO, its CEO saysMistral, Europe's leading AI startup, opts for an IPO instead of a sale to grow independently.
Applying Large Language Models in Healthcare: Lessons from the FieldPrecision in healthcare LLMs is a necessity to avoid life-threatening errors.John Snow Labs sets a standard for NLP in clinical applications.
The Shift from Symbolic AI to Deep Learning in Natural Language Processing | HackerNoonLarge language models (LLMs) emerge from historical NLP paradigms, blending symbolic rule-based and stochastic statistical approaches.
6 Common LLM Customization Strategies Briefly ExplainedLLMs revolutionize natural language processing but often require significant customization for specific business tasks.Customizing LLMs can be achieved through freezing model parameters or updating them with specialized datasets.
Applying Large Language Models in Healthcare: Lessons from the FieldPrecision in healthcare LLMs is a necessity to avoid life-threatening errors.John Snow Labs sets a standard for NLP in clinical applications.
The Shift from Symbolic AI to Deep Learning in Natural Language Processing | HackerNoonLarge language models (LLMs) emerge from historical NLP paradigms, blending symbolic rule-based and stochastic statistical approaches.
6 Common LLM Customization Strategies Briefly ExplainedLLMs revolutionize natural language processing but often require significant customization for specific business tasks.Customizing LLMs can be achieved through freezing model parameters or updating them with specialized datasets.
This 5-year tech industry forecast predicts some surprising winners - and losersSmartphone sales will experience fluctuating growth, while tablet demand decreases; LLMs and data management solutions will thrive.Emerging tech trends indicate a strong market for large language models and data management tools.
What is retrieval-augmented generation? More accurate and reliable LLMsRAG enhances the accuracy of large language models by integrating external data sources, but it isn't a comprehensive solution.
IBM introduces new Granite models with optional reasoning capabilitiesIBM's Granite AI models enhance enterprise AI by offering efficient reasoning capabilities and innovative computational techniques.The Granite 3.2 model is particularly suited for developing AI assistants with its instruction-following design.
How to Measure the Reliability of a Large Language Model's ResponseLarge Language Models (LLMs) predict the next word in a sequence based on training data but may produce false information, necessitating trustworthiness assessments.
Micronaut Framework 4.7.0 Provides Integration with LangChain4j and Graal LanguagesMicronaut Framework 4.7.0 integrates LangChain4J for LLM support in Java applications.
DeepSeek - Latest news and insightsDeepSeek AI presents accessible and efficient alternatives in open-source LLMs with advanced reasoning and multimodal learning capabilities.
Google reports halving code migration time with AI helpGoogle successfully used AI to accelerate internal code migration processes, which saves time and simplifies project completion.
New Crash Course Promises to Help You Develop AI Applications with LangChain | HackerNoonLangChain simplifies the development of AI applications by automating interactions with Large Language Models.
DeepSeek - Latest news and insightsDeepSeek AI presents accessible and efficient alternatives in open-source LLMs with advanced reasoning and multimodal learning capabilities.
Google reports halving code migration time with AI helpGoogle successfully used AI to accelerate internal code migration processes, which saves time and simplifies project completion.
New Crash Course Promises to Help You Develop AI Applications with LangChain | HackerNoonLangChain simplifies the development of AI applications by automating interactions with Large Language Models.
DeepSeek not the only Chinese AI dev keeping US up at nightAlibaba's Qwen 2.5 Max may outperform top U.S. LLMs, challenging perceptions of American dominance in AI.
How does Deepseek R1 really fare against OpenAI's best reasoning models?Deepseek's R1 model is challenging established AI players with competitive performance at lower costs.The test of R1 against ChatGPT models highlights its potential in real-world applications.
DeepSeek not the only Chinese AI dev keeping US up at nightAlibaba's Qwen 2.5 Max may outperform top U.S. LLMs, challenging perceptions of American dominance in AI.
How does Deepseek R1 really fare against OpenAI's best reasoning models?Deepseek's R1 model is challenging established AI players with competitive performance at lower costs.The test of R1 against ChatGPT models highlights its potential in real-world applications.
Episode #236: Simon Willison: Using LLMs for Python Development - The Real Python PodcastLeveraging LLMs like ChatGPT can significantly enhance Python programming and development.Prompt engineering is crucial for maximizing the effectiveness of LLM tools.
How Effective is vLLM When a Prefix Is Thrown Into the Mix? | HackerNoonvLLM significantly improves throughput in LLM tasks by utilizing shared prefixes among different input prompts.
Episode #236: Simon Willison: Using LLMs for Python Development - The Real Python PodcastLeveraging LLMs like ChatGPT can significantly enhance Python programming and development.Prompt engineering is crucial for maximizing the effectiveness of LLM tools.
How Effective is vLLM When a Prefix Is Thrown Into the Mix? | HackerNoonvLLM significantly improves throughput in LLM tasks by utilizing shared prefixes among different input prompts.
China's cheap, open AI model DeepSeek thrills scientistsDeepSeek-R1 is an open, affordable alternative to traditional reasoning models, impressing researchers with its performance and potential for scientific problem-solving.
Before Apple's AI Went Haywire and Started Making Up Fake News, Its Engineers Warned of Deep Flaws With the TechApple's AI initiative, Apple Intelligence, has faced major setbacks, particularly in news summarization, leading to a pause for improvements.
CES 2025: AI laptops and Nvidia's tiny powerhouseCES 2025 showcased notable advancements in business tech, particularly in AI PCs and large language models, though their immediate utility raises questions for IT decision-makers.
AI helped Google engineers cut code migration times in halfGoogle has cut code migration times significantly using AI tools, particularly large language models (LLMs), reducing migration times by up to 50%.The use of LLMs lowers barriers for starting and completing migration programs, enhancing efficiency and reducing overhead.
In the Future, Your Data Is More Valuable Than Gold | HackerNoonData is the new currency driving business decisions and competitive advantage.Web scraping is a vital method for data extraction, experiencing significant market growth.
Applying the Virtual Memory and Paging Technique: A Discussion | HackerNoonVirtual memory and paging can effectively manage KV cache in LLM serving.vLLM enhances memory management through application-specific optimizations.
General Model Serving Systems and Memory Optimizations Explained | HackerNoonMost model serving systems overlook the autoregressive nature of large language models, limiting their optimization potential.PagedAttention and KV Cache Manager enhance memory efficiency and performance in LLM serving, especially for autoregressive tasks.