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Tag: llm
- Harness engineering: leveraging Codex in an agent-first world | OpenAI
- 0xPlaygrounds/rig: ⚙️🦀 Build modular and scalable LLM Applications in Rust
- Claude Code is the Inflection Point
- anthropics/original_performance_takehome: Anthropic's original performance take-home, now open for you to try!
- Andrej Karpathy on X: "With many 🧩 dropping recently, a more complete picture is emerging of LLMs not as a chatbot, but the kernel process of a new Operating System. E.g. today it orchestrates: - Input & Output across modalities (text, audio, vision
- Andrej Karpathy on X: "LLM OS. Bear with me I'm still cooking. Specs: - LLM: OpenAI GPT-4 Turbo 256 core (batch size) processor @ 20Hz (tok/s) - RAM: 128Ktok - Filesystem: Ada002 https://t.co/6n95iwE9fR" / X
- Andrej Karpathy on X: ""Chatting" with LLM feels like using an 80s computer terminal. The GUI hasn't been invented, yet but imo some properties of it can start to be predicted. 1 it will be visual (like GUIs of the past) because vision (pictures, charts,
- dbreunig/whenwords: A relative time formatting library, with no code.
- Andrej Karpathy on X: "A few random notes from claude coding quite a bit last few weeks. Coding workflow. Given the latest lift in LLM coding capability, like many others I rapidly went from about 80% manual+autocomplete coding and 20% agents in November
- Wikipedia:Signs of AI writing - Wikipedia
- langchain-ai/langgraph: Build resilient language agents as graphs.
- BerriAI/litellm: Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDI
- guidance-ai/llguidance: Super-fast Structured Outputs
- Factory IDE | AI Coding Agents
- LoRA Without Regret - Thinking Machines Lab
- (4) Andrej Karpathy on X: ""Move 37" is the word-of-day - it's when an AI, trained via the trial-and-error process of reinforcement learning, discovers actions that are new, surprising, and secretly brilliant even to expert humans. It is a magical, just s
- repomirror/repomirror.md at main · repomirrorhq/repomirror
- LLM-as-a-judge: a complete guide to using LLMs for evaluations
- Output styles - Anthropic
- GitHub - ggerganov/llama.cpp: LLM inference in C/C++
- GitHub - ollama/ollama: Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.