Large Language Models
Projects with this topic
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🔧 🔗 https://github.com/exo-explore/mlx-bitnet1.58 Bit LLM on Apple Silicon using MLX
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https://github.com/InternLM/InternLM-XComposer InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output
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The Arcee client for executing domain-adpated language model routines
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🔧 🔗 https://github.com/Khan/tutoring-accuracy-datasetThis repository hosts the paper “LLM Based Math Tutoring: Challenges and Dataset”, along with the accompanying dataset. It explores the performance and challenges of Large Language Models (LLMs) in math tutoring scenarios, providing a benchmark dataset for evaluating LLM accuracy in educational contexts.
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https://github.com/THUDM/APAR APAR: LLMs Can Do Auto-Parallel Auto-Regressive Decoding
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https://github.com/THUDM/OpenWebAgent A convenient framework for developing LLM- and LMM-based web agents.
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https://github.com/THUDM/AutoWebGLM An LLM-based Web Navigating Agent (KDD'24)
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Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6
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https://github.com/fabriziosalmi/UglyFeed Retrieve, aggregate, filter, evaluate, rewrite and serve RSS feeds using Large Language Models for fun, research and learning purposes.
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https://github.com/AI-Engineer-Foundation/agent-protocol Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents.
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https://github.com/arcee-ai/DistillKit An Open Source Toolkit For LLM Distillation
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https://github.com/distantmagic/resonance PHP Framework designed to build IO-intensive web applications.
🔗 http://resonance.distantmagic.com/Updated -
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https://github.com/Upsonic/prompt-as-function "Don't write any code, just tell what to do!"
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https://github.com/Upsonic/Tiger Neuralink for your AI Agents - LangChain - Autogen - CrewAI
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https://github.com/distantmagic/llmops-handbook Practical and advanced guide to LLMOps. It provides a solid understanding of large language models’ general concepts, deployment techniques, and software engineering practices.
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https://github.com/InternLM/Agent-FLAN [ACL2024 Findings] Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
🔗 https://internlm.github.io/Agent-FLAN/Updated -
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