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Github 👨‍🔧: A Comprehensive Toolkit for High-Quality PDF Content Extraction
→ Integrates leading document parsing models for layout detection, formula detection, formula recognition, OCR, and table recognition.
→ Achieves high-quality parsing across diverse document types due to fine-tuning... See more
Unlocking Spotify Algorithms: Proven Strategies from 2 Years of Boosting Artist Visibility on Streaming Platforms
Julie Knibbemusic-tomorrow.com
Top 4 open-source LLM finetuning libraries!
From single-GPU “click-to-tune” notebooks to trillion-param clusters, these four libraries cover every LLM finetuning scenario.
Understand which one to use, & when...👇 https://t.co/rQ5iYWniNg
Infuse knowledge into language models with just 10 samples 🔥
https://t.co/V3PMUnSvq1 https://t.co/5mhNHxHNr5
Ben Tossellx.comRemember reinforcement fine-tuning? We’ve been working away at it since last December, and it’s available today with OpenAI o4-mini! RFT uses chain-of-thought reasoning and task-specific grading to improve model performance—especially useful for complex domains. Take https://t.co/7V8Oxlfa2L
OpenAI Developersx.com🚀 Introducing RAGTune: An Open-Source tool for tuning and optimizing RAG pipelines!
Curious about the best combo of LLMS, embeddings, retrievers, etc. for your RAG app? Now you can easily experiment and see what works best.
1/ Start with uploading documents and providing some Q&As
Misbah Syedx.com
We made a Guide to teach you how to Fine-tune LLMs correctly!
Learn about:
• Choosing the right parameters & training method
• RL, GRPO, DPO & CPT
• Data prep, Overfitting & Evaluation
• Training with Unsloth & deploy on vLLM, Ollama, Open... See more