HazyResearch/based
quality grade D, 45 out of 100Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
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Released model weights, reference implementations and architecture research.
Signals: large-language-models, llm, foundation-models, transformer, gpt, llama, mistral, qwen
1,455 results
Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.
Repo for paper "Unleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration"
A collection of agents that use Large Language Models (LLMs) to perform tasks common on our day to day jobs in cyber security.
Automated generation of comprehensive Agents.md for LLMs, driven by the DSPy Recursive language model implementation.
[ACL 2024 Findings] MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning https://arxiv.org/abs/2311.10537
A collection of prompts to challenge the reasoning abilities of large language models in presence of misguiding information
This project is the official implementation of 'LLMGA: Multimodal Large Language Model based Generation Assistant', ECCV2024 Oral
WIP - Automated Question Answering for ArXiv Papers with Large Language Models (https://arxiv.taesiri.xyz/)
This repository introduces MentaLLaMA, the first open-source instruction following large language model for interpretable mental health analysis.
Paper collection on building and evaluating language model agents via executable language grounding
SDAR (Synergy of Diffusion and AutoRegression), a large diffusion language model(1.7B, 4B, 8B, 30B)
VSCode extension that demonstrates the use of large language models (LLMs) for active debugging of programs
[Nature Communications] The official codes for "Towards Building Multilingual Language Model for Medicine"
Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.
Large Language Models (LLMs) applications and tools running on Apple Silicon in real-time with Apple MLX.
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages
Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
A framework for creating grounded instruction based datasets and training conversational domain expert Large Language Models (LLMs).
Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"
LLaDA2.0 is the diffusion language model series developed by InclusionAI team, Ant Group.
[READ-ONLY] A collection of prompts for enhancing productivity with large language models.
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs (ACL 2024)
[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"
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