KPREDDIE

KPREDDIE

Geek Repo

Company:USAF-BT-EMC-UNITAS-CAPGEMINI-CISCO-HHS-CDW-WAG-META

Location:US West

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KPREDDIE's repositories

gorillaAPIStoreFWD

Gorilla: An API store for LLMs

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gpt-pilotAIDev2024

The first real AI developer

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OS-Copilot

An self-improving embodied conversational agent seamlessly integrated into the operating system to automate our daily tasks.

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tensorflow032024

An Open Source Machine Learning Framework for Everyone

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auto-code-rover042024

A project structure aware autonomous software engineer aiming for autonomous program improvement. Resolved 15.95% tasks in full SWE-bench

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auto-devAI

🧙‍AutoDev: The AI-powered coding wizard with multilingual support 🌐, auto code generation 🏗️, and a helpful bug-slaying assistant 🐞! Customizable prompts 🎨 and a magic Auto Dev/Testing/Document/Agent feature 🧪 included! 🚀

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azure-search-openai-JSCRIPT2024

A TypeScript sample app for the Retrieval Augmented Generation pattern running on Azure, using Azure AI Search for retrieval and Azure OpenAI and LangChain large language models (LLMs) to power ChatGPT-style and Q&A experiences.

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genai-stack022224

Langchain + Docker + Neo4j + Ollama

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LLaVA-Interactive-DemoMultiM

LLaVA-Interactive-Demo

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llm-answer-engine-FStack-RAG

Build a Perplexity-Inspired Answer Engine Using Next.js, Groq, Mixtral, Langchain, OpenAI, Brave & Serper

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MemGPT042024

Building persistent LLM agents with long-term memory 📚🦙

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MoraOpenSoraVariant

Mora: More like Sora for Generalist Video Generation

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ollama022224

Get up and running with Llama 2, Mistral, and other large language models.

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OpenDevinAPR2024

🐚 OpenDevin: Code Less, Make More

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sf-samples-tastytest

Sample files, code snippets and downloads for Snowflake labs and tutorials.

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singlefullstack-starter

NextJS, Prisma, SingleStore starter

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singlestore-wasm-toolkitAPR2024

Tools to streamline development of Wasm UDFs for SingleStoreDB.

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SWE-agent2024

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.29% of bugs in the SWE-bench evaluation set and takes just 1.5 minutes to run.

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TensorRT-LLMwinX

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

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trt-llm-rag-windowsNVDA

A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM

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