llm
Projects with this topic
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https://github.com/joaomdmoura/crewAI Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
crewai.com
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🔧 🔗 https://github.com/getzep/graphitiBuild and query dynamic, temporally-aware Knowledge Graphs
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🔧 🔗 https://github.com/Skyvern-AI/skyvernAutomate browser-based workflows with LLMs and Computer Vision
🕸 ️🔗 www.skyvern.com/Updated -
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🔧 🔗 https://github.com/Cinnamon/kotaemonAn open-source RAG-based tool for chatting with your documents.
🕸 ️🔗 https://cinnamon.github.io/kotaemon/Updated -
https://github.com/janhq/nitro.git now: https://github.com/janhq/cortex.git Drop-in, local AI alternative to the OpenAI stack. Multi-engine (llama.cpp, TensorRT-LLM, ONNX). Powers
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https://github.com/ComposioHQ/composio Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling
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🔧 🔗 meta-llama/llama-recipes Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs.Updated -
OpenLIT is an open-source LLM Observability tool built on OpenTelemetry.
📈 🔥 Monitor GPU performance, LLM traces with input and output metadata, and metrics like cost, tokens, and user interactions along with complete APM for LLM Apps.🖥 ️Updated -
🔧 🔗 https://github.com/aurelio-labs/semantic-routerSuperfast AI decision making and intelligent processing of multi-modal data.
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https://github.com/run-llama/LlamaIndexTS LlamaIndex is a data framework for your LLM applications
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https://github.com/InternLM/lmdeploy LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
🔗 lmdeploy.readthedocs.io/en/latest/Updated -
🔧 🔗 https://github.com/BerriAI/litellmPython SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
🕸 ️🔗 docs.litellm.ai/docs/Updated -
https://github.com/run-llama/llama_index LlamaIndex is a data framework for your LLM applications
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Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, persist, and execute on your own infrastructure. burr.dagworks.io
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Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
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🔧 🔗 https://github.com/Haidra-Org/horde-sdkA python library to interact with AI-Horde's free generative AI APIs
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https://github.com/arcee-ai/mergekit Tools for merging pretrained large language models.
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