autogenai / easy-problems-that-llms-get-wrong
☆37Updated 5 months ago
Alternatives and similar repositories for easy-problems-that-llms-get-wrong:
Users that are interested in easy-problems-that-llms-get-wrong are comparing it to the libraries listed below
- Official homepage for "Self-Harmonized Chain of Thought" (NAACL 2025)☆91Updated last month
- ReDel is a toolkit for researchers and developers to build, iterate on, and analyze recursive multi-agent systems. (EMNLP 2024 Demo)☆72Updated this week
- ☆50Updated 3 months ago
- Python SDK for experimenting, testing, evaluating & monitoring LLM-powered applications - Parea AI (YC S23)☆75Updated 2 weeks ago
- ☆65Updated 9 months ago
- ☆48Updated 3 months ago
- Simple examples using Argilla tools to build AI☆53Updated 3 months ago
- Easy to use, High Performant Knowledge Distillation for LLMs☆50Updated last month
- The Benefits of a Concise Chain of Thought on Problem Solving in Large Language Models☆21Updated 3 months ago
- Just a bunch of benchmark logs for different LLMs☆119Updated 7 months ago
- Codebase accompanying the Summary of a Haystack paper.☆75Updated 5 months ago
- The next evolution of Agents☆49Updated 3 weeks ago
- Mixing Language Models with Self-Verification and Meta-Verification☆101Updated 2 months ago
- High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡☆64Updated 4 months ago
- Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute…☆49Updated 7 months ago
- Code for ExploreTom☆76Updated 2 months ago
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆54Updated 6 months ago
- ☆110Updated 6 months ago
- ☆20Updated last year
- GPT-4 Level Conversational QA Trained In a Few Hours☆58Updated 6 months ago
- ☆30Updated 7 months ago
- RAG example using DSPy, Gradio, FastAPI☆75Updated 10 months ago
- ☆81Updated last year
- The first dense retrieval model that can be prompted like an LM☆65Updated 5 months ago
- 🔧 Compare how Agent systems perform on several benchmarks. 📊🚀☆79Updated 4 months ago
- ☆76Updated 8 months ago