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The Definitive Guide to LLM Evaluation
A structured approach to building, implementing, and optimizing evaluation strategies for LLM applications.
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DeepLearning course: Evaluating AI Agents
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AI Benchmark Deep Dive: Gemini 2.5 and Humanity’s Last Exam
A comprehensive overview of modern AI benchmarks, taking a close look at Google’s recent Gemini 2.5 release and its performance on key evaluations
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LibreEval: A Smarter Way to Detect LLM Hallucinations
The Arize team has generated the largest public dataset of hallucinations, as well as a series of fine-tuned evaluation models.
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AI Research Papers
Stay up to date with the latest breakthroughs in AI research.
Merge, Ensemble, and Cooperate! A Survey on Collaborative LLM Strategies
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Agent-as-a-Judge: Evaluate Agents with Agents
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Introduction to OpenAI’s Realtime API
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Model Context Protocol (MCP) from Anthropic
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How DeepSeek is Pushing the Boundaries of AI Development
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Multiagent Finetuning: A Conversation with Researcher Yilun Du
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Swarm: OpenAI’s Experimental Approach to Multi-Agent Systems
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Breaking Down Reflection Tuning: Enhancing LLM Performance with Self-Learning
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Composable Interventions for Language Models
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Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges
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Extending the Context Window of LLaMA Models Paper Reading
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DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines
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RAFT: Adapting Language Model to Domain Specific RAG
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LLM Interpretability and Sparse Autoencoders: Research from OpenAI and Anthropic
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Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment
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Breaking Down EvalGen: Who Validates the Validators?
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Keys To Understanding ReAct: Synergizing Reasoning and Acting in Language Models
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Demystifying Amazon’s Chronos: Learning the Language of Time Series
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Anthropic Claude 3
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Reinforcement Learning in the Era of LLMs
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Sora: OpenAI’s Text-to-Video Generation Model
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Phi-2 Model
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Mistral AI (Mixtral-8x7B): Performance, Benchmarks
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How to Prompt LLMs for Text-to-SQL
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The Geometry of Truth: Emergent Linear Structure in LLM Representation of True/False Datasets
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Towards Monosemanticity: Decomposing Language Models With Dictionary Learning
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RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models
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Explaining Grokking Through Circuit Efficiency
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Large Content And Behavior Models to Understand, Simulate, and Optimize Content and Behavior.
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Skeleton of Thought: LLMs Can Do Parallel Decoding Paper Reading
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Extending the Context Window of LLaMA Models Paper Reading
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Llama 2: Open Foundation and Fine-Tuned Chat Models Paper Reading
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Lost in the Middle: How Language Models Use Long Contexts Paper Reading
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Orca: Progressive Learning from Complex Explanation Traces of GPT-4 Paper Reading
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One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
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HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels
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Voyager: An Open-Ended Embodied Agent with LLMs Paper Reading and Discussion
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Retrieval-Augmented Generation – Paper Reading and Discussion
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LoRA: Low-Rank Adaptation of Large Language Models Paper Reading and Discussion
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Drag Your GAN: Interactive Point-Based Manipulation on the Generative Image Manifold
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LIMA: Less Is More for Alignment – Paper Reading and Discussion
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Hungry Hungry Hippos (H3) and Language Modeling with State Space Models
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Toolformer: Training LLMs To Use Tools
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OpenAI on Reinforcement Learning With Human Feedback (RLHF)
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