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Showing 1-20 of 20 articles
Context caching
Context caching is a large-language-model API feature that stores parts of a request's input (system prompts, instructions, attached documents, or earlier conversation turns) on the provider's infrastructure…
CrewAI
CrewAI is an open-source multi-agent orchestration framework that enables developers to build teams of AI agents that collaborate to accomplish complex tasks.
DSPy
DSPy (short for Declarative Self-improving Python) is an open-source framework, developed at Stanford NLP, for programming rather than prompting large language models (LLMs).
Fireworks AI
Fireworks AI is an artificial intelligence infrastructure company that runs a high-performance inference platform for deploying and serving open large language models (LLMs), image generation models, audio…
GGUF
GGUF (GPT-Generated Unified Format) is the standard binary file format for storing large language models for local inference, bundling a model's weights, tokenizer, and metadata into a single self-contained…
GPT-5 Codex
GPT-5-Codex is a coding-specialised variant of OpenAI's GPT-5 model, announced on September 15, 2025 and tuned for agentic software engineering inside the OpenAI Codex product family.
Instructor (library)
Instructor is an open-source Python library that returns type-safe, Pydantic-validated structured outputs from large language model APIs.
LLaMA/Model Card
The Llama model card is the official documentation that Meta AI ships with each release of the Llama family of large language models.
LM Studio
LM Studio is a desktop application for discovering, downloading, and running large language models locally on personal hardware, available free for both personal and commercial use on macOS, Windows, and Linux.
LangChain
LangChain is an open-source software framework for applications that use large language models.
LiteLLM
LiteLLM is an open-source AI gateway from BerriAI that lets developers call more than 100 large language model providers (including OpenAI, Anthropic, Google Gemini, Amazon Bedrock and Azure OpenAI) through a…
Ollama
Ollama is a free, open-source runtime for downloading, running, and managing open-weight large language models (LLMs) locally on personal computers and servers.
Open WebUI
Open WebUI is a self-hosted, extensible web interface for interacting with large language models (LLMs) both locally and through cloud APIs.
OpenRouter
OpenRouter is a unified API gateway and marketplace that routes a single, OpenAI-compatible request across more than 400 large language models (LLMs) and other AI models from over 60 providers, automatically…
Outlines (library)
Outlines is an open-source Python (programming language) library, released under the Apache 2.0 license, that constrains large language model output to user-specified structures: regular expressions, function…
Qwen3-Coder
Qwen3-Coder is a family of open-weight large language models specialized for software engineering, developed by Alibaba's Qwen team (Tongyi Lab) and released under the Apache 2.0 license.
Structured output
Structured output is a set of techniques and API features that constrain a large language model (LLM) to emit responses that exactly conform to a predefined format or schema, such as JSON, XML, or a custom…
llama.cpp
llama.cpp is an open-source large language model inference engine written in C and C++ by Bulgarian software engineer Georgi Gerganov that runs large language models on consumer-grade hardware without…
llms.txt
llms.txt is a proposed web standard that defines a small markdown file served at the root path /llms.txt of a website, containing a curated, LLM-friendly summary and a list of links to authoritative content…