Baichuan AI and PENGCHENG Laboratory will jointly explore the training and application of LLM, and develop 128K context window model “PengCheng-Baichuan·Brain Ocean 33B”based on domestic computing power. This is the innovation and implemention of domestic computing powered LLM.
LLMS
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Yi-34B-Chat Model Released with Quantized Version Available
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Yi-34B-Chat and quantized version is now live! Love to hear how you think
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AI Capabilities Surpass Human Performance Since 2000
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Chart of the day highlights the rapid development of #ArtificialIntelligence capabilities since 2000. In particular, #AI's language and image recognition capabilities have developed beyond human performance already. #ChatGPT #chatbots #chatgpt4 #GenerativeAI #ML
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OpenAI’s Energy Waste Computing Imprecise Text Mimicry
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Also, it's kind of hilarious (lolsob) that OpenAI is burning enormous amounts of energy to take machines designed to perform calculations precisely to make them output text that mimics imprecisely the performance of calculations… & then deciding that *that* is intelligent. 16/
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LLMs produce plausible text, not genuine writing or ideas
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"AI" is not "good at writing"—it's designed to produce plausible sounding synthetic text. Writing is an activity that people to do as we work to refine our ideas and share them with others. LLMs don't have ideas. 14/
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Learn About LLMOps Guide and Video Tutorial
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Learn more about the guide and LLMOps in the video… https://
youtu.be/58XmJxb1x_o Full list on GitHub: -
Top Online Courses for Training and Fine-Tuning LLMs
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4. Online Courses: • ‘Train & Fine-Tune LLMs for Production Course’ by @activeloop , @towards_AI , and @intel Disruptor Initiative. • ‘LLM University’ by @cohere . • YouTube @Gradio Course by @freeCodeCamp . • @learnprompting 's free resource.
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Best Resources for Learning LLMs and LLMOps Guide
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Here are the Best Resources from my Guide for learning to work with LLMs / LLMOps : 1. YouTube Videos: A selection of short, informative videos introducing LLM concepts and terminology ( @AICoffeeBreak , @bycloudai , @ykilcher @JayAlammar @SerranoAcademy )
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Anthropic Claude 2.1 API pricing now cheaper than OpenAI GPT-4
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Claude 2.1 API pricing from @AnthropicAI has been reduced to make it cheaper per-token than @OpenAI GPT 4 Turbo.
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Introduction to Large Language Models: Inference, Training, and OS
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New YouTube video: 1hr general-audience introduction to Large Language Models **********************
Based on a 30min talk @karpathy gave recently; It tries to be non-technical intro, covers mental models for LLM inference, training, finetuning, the emerging LLM OS and LLM