The "Building LLMs for Production" book has 34 notebooks that are each either a full tutorial on an advanced LLM-related technique or application or a specific project like "Fine_Tuning_using_Cohere_for_Medical_Data.ipynb". It took us more than a year to build all these and put
LLMS
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Abacus AI ChatLLM Teams: Multi-LLM PDF Summarization Tool
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Check out @AbacusAI versatile ChatLLM Teams: https://t.co/73VwIlbcQ3
— Kirk Borne (@KirkDBorne) 30 décembre 2024
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Example: watch attached video — see how you can choose from a variety of different #LLMs to summarize any input PDF document.
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The post below lists key features of ChatLLM Teams:
⬇️https://t.co/ajtqDwSBHP pic.twitter.com/QvfbDvXSHXCheck out @AbacusAI versatile ChatLLM Teams: https://
chatllm.abacus.ai/?token=kirk Example: watch attached video — see how you can choose from a variety of different #LLMs to summarize any input PDF document.
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The post below lists key features of ChatLLM Teams: -
Top 25 AI Models 2024: Flux, Llama, Gemma, Grok
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Top 25 AI models in 2024 on Hugging Face @bfl_ml w/ Flux.1-dev & Flux.1-schnell – current SoTA open Text to Image models @AIatMeta w/ Llama 3.X series (1B to 70B) – competitive LLMs across sizes @StabilityAI w/ SD 3.5 Medium & Large @GoogleAI Gemma 7B @xai w/ grok-1
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Red Teaming AI Models with Reinforcement Learning Rewards
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Diverse and Effective Red Teaming with Auto-generated Rewards and Multi-step Reinforcement Learning Alex Beutel, Kai Xiao, Johannes Heidecke, Lilian Weng @OpenAI https://
arxiv.org/pdf/2412.18693
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Abacus AI ChatLLM Teams: Explore, Analyze Business Data Easily
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You can use the new @AbacusAI ChatLLM Teams to explore, chat with, summarize, create reports with visualizations, and build dashboards from your business data sources (using any of the state-of-the-art #LLMs).
— Kirk Borne (@KirkDBorne) 30 décembre 2024
Start FREE TRIAL: https://t.co/73VwIlbKFB#GenerativeAI #AI #GenAI pic.twitter.com/BG8JKGQUgIYou can use the new @AbacusAI ChatLLM Teams to explore, chat with, summarize, create reports with visualizations, and build dashboards from your business data sources (using any of the state-of-the-art #LLMs). Start FREE TRIAL: https://
chatllm.abacus.ai/?token=kirk #GenerativeAI #AI #GenAI -
QiD Metric Measures LLM Training Levels and Token Requirements
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the work proposes a novel perspective that we can use QiD to measure an LLM's training levels and determine the number of training tokens required for fully training LLMs of various sizes.
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Low-Bit Quantization Favors Undertrained Large Language Models
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Low-Bit Quantization Favors Undertrained LLMs: Scaling Laws for Quantized LLMs with 100T Training Tokens https://
arxiv.org/abs/2411.17691 -
Curating LLM Data: Best Practices and Strategies
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Curating LLM data – Hamel’s Blog https://
bit.ly/3ZLa9Vm
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Question about reading letters in indigenous languages
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Oh, did someone submit a letter in an indigenous language? How did you read it?
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DRT-o1 Applies Long-Chain Reasoning to Machine Translation
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10). DRT-o1 – applies long chain-of-thought reasoning to machine translation, particularly for handling metaphors and similes across different cultures.