A reading list for large models safety, security, and privacy.
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Updated
Jun 12, 2024
A reading list for large models safety, security, and privacy.
GPT4V-level open-source multi-modal model based on Llama3-8B
MINERS ⛏️: The semantic retrieval benchmark for evaluating multilingual language models.
Universal LLM Deployment Engine with ML Compilation
たまに追加される論文メモ
LangSmith Client SDK Implementations
AICI: Prompts as (Wasm) Programs
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Domain Adapted Language Modeling Toolkit - E2E RAG
Unify Efficient Fine-Tuning of 100+ LLMs
High-performance In-browser LLM Inference Engine
On-device LLM Inference Powered by X-Bit Quantization
Build AI-powered applications with React, Svelte, Vue, and Solid
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
A PyTorch-based Speech Toolkit
A framework for few-shot evaluation of language models.
A production ready AI agent framework built on the concept of AI agents being finite-state machines (FSM).
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