llm

A list of posts tagged llm

Blogs

• Configure Ollama on Dev Containers and VS Code
• Getting started with Ollama on Windows
• Using Generative AI to produce Spotify Clips

Notes

• Ollama Adds Mistral 3.1 Support
• Clock Tables - Org Mode, Plain Text, and AI
• These models are too damn big!
• What about instrumentals? AI Generated Spotify Clips Addendum
• AI abundance after scarcity cycles

Responses

• ZeroSearch - Incentivize the Search Capability of LLMs without Searching
• The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation
• Introducing Command A
• Simon Willison's AI-Generated Tools Colophon
• Introducing Mercury, the first commercial-scale diffusion large language model
• The Ultra-Scale Playbook: Training LLMs on GPU Clusters
• The Illustrated DeepSeek-R1
• LangChain State of AI 2024 Report
• Microsoft Research: Introducing DRIFT Search
• Thinking LLMs: General Instruction Following with Thought Generation
• Bringing Llama 3 to life
• GPT-4o System Card
• LongROPE: Extending LLM Context Window Beyond 2 Million Tokens
• Home-Cooked Software and Barefoot Developers
• Meta Large Language Model Compiler: Foundation Models of Compiler Optimization
• Mapping the Mind of a Large Language Model
• Ultravox - An open, fast, and extensible multimodal LLM
• Reproducing GPT-2 (124M) in llm.c in 90 minutes for $20
• Introducing Snowflake Arctic
• Introducing Phi-3
• Introducing Llama 3
• Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
• DE-COP: Detecting Copyrighted Content in Language Models Training Data
• Using LLM to select the right SQL Query from candidates
• RecurrentGemma - Open weights language model from Google DeepMind, based on Griffin.
• Hello OLMo: A truly open LLM
• LLM training in simple, raw C/CUDA
• ARAGOG: Advanced RAG Output Grading
• OpenAI - Introducing improvements to the fine-tuning API and expanding our custom models program
• Introducing Command R+: A Scalable LLM Built for Business
• Large Language Models Are Zero-Shot Time Series Forecasters
• IPEX-LLM
• Start using ChatGPT instantly
• Announcing DBRX: A new standard for efficient open source LLMs
• Mamba: Linear-Time Sequence Modeling with Selective State Spaces
• Releasing Common Corpus: the largest public domain dataset for training LLMs
• Demystifying Embedding Spaces using Large Language Models
• MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
• Ollama now supports AMD graphics cards
• You can now train a 70b language model at home
• Levels of Complexity: RAG Applications
• Inflection-2.5: meet the world's best personal AI
• Training great LLMs entirely from ground up in the wilderness as a startup
• Gemma PyTorch
• Introducing the next generation of Claude
• GGUF, the long way around
• Predictive Human Preference: From Model Ranking to Model Routing
• The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
• Announcing Mistral Large
• GPT in 500 lines of SQL
• Gemma: Introducing new state-of-the-art open models
• Cosmopedia v0.1
• Ollama - Windows Preview
• GraphRAG: Unlocking LLM discovery on narrative private data
• NVIDIA Chat with RTX
• Memory and new controls for ChatGPT
• Eagle 7B : Soaring past Transformers with 1 Trillion Tokens Across 100+ Languages (RWKV-v5)
• Google’s Hugging Face deal puts ‘supercomputer’ power behind open-source AI
• New OpenAI embedding models and API updates
• NightShade
• Introducing Stable LM 2 1.6B
• Stable Code 3B - Coding on the Edge
• Sampling for Text Generation
• Talking about Open Source LLMs on Oxide and Friends
• LeftoverLocals: Listening to LLM responses through leaked GPU local memory
• AI for economists - prompts and resources
• More than an OpenAI Wrapper: Perplexity Pivots to Open Source
• My AI Timelines Have Sped Up (Again)
• Ferret: Refer and Ground Anything Anywhere at Any Granularity
• LangChain State of AI 2023
• LLM in a flash: Efficient Large Language Model Inference with Limited Memory
• OpenAI - Prompt engineering
• Bash One-Liners for LLMs
• Phi-2: The surprising power of small language models
• Introducing Stable LM Zephyr 3B
• The Geometry of Truth: Dataexplorer
• MemGPT - Towards LLMs as Operating Systems
• Best Practices for LLM Evaluation of RAG Applications
• MLflow 2.8 with LLM-as-a-judge metrics and Best Practices for LLM Evaluation of RAG Applications
• OpenAgents: An Open Platform for Language Agents in the Wild
• Mixtral of experts
• Long context prompting for Claude 2.1
• Introducing llamafile
• Chain-of-Verification Reduces Hallucination in Large Language Models
• Scaffolded LLMs as natural language computers
• Mistral 7B Model
• Distilling step-by-step: Outperforming larger language models with less training data and smaller model sizes
• vim + llm = 🔥
• ChatGPT can now see, hear, and speak
• DALL·E 3
• Optimizing your LLM in production
• PointLLM: Empowering Large Language Models to Understand Point Clouds
• Spread Your Wings: Falcon 180B is here
• Generative AI and .NET - Part 2 SDK
• Perplexity: Interactive LLM visualization
• Can LLMs learn from a single example?
• Generative AI and .NET - Part 1 Intro
• Llama 2 7B/13B are now available in Web LLM
• Supporting the Open Source AI Community
• Making Large Language Models Work For You
• Introducing Code Llama, a state-of-the-art large language model for coding
• Large Language Models with Semantic Search
• Patterns for Building LLM-based Systems and Products
• Open challenges in LLM research
• GPT-4 API general availability
• Gorilla: Large Language Model Connected with Massive APIs
• LoRA: Low-Rank Adaptation of Large Language Models
• Language models can explain neurons in language models
• Free Dolly
• Generative Agents: Interactive Simulacra of Human Behavior
• Koala: A Dialogue Model for Academic Research