BREAKING : Mistral AI is preparing to release Codestral 25.01 with 256k context length "Code at the speed of Tab. Available today in Continue dot dev and soon on other leading AI code assistants." h/t @ai_for_success
LLMS
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Loading Pretrained Weights and Selecting Foundation Models
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And in addition, as you will see later in chapter 5, it's necessary to load pretrained weights.
Now there are many open-weight models available, but my reason for this one was also that it's a) the basis for everything that came after (other architectures can be covered in -
Book Update: Future Plans for RNN, LSTM, and GAN Content Revision
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Thanks for your interest in this. I hope to find the time some day, but it won't be very soon I'm afraid. I agree with your suggestions regarding RNN, LSTM, GANs (would replace them with more LLM and diffusion model contents). Unfortunately, the book was already at the max page
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Free O’Reilly Access: Building LLMs for Production Book
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If you haven't read "Building LLMs for Production", here's your chance to read it for free! O'Reilly gave me a shareable 30-day trial code to sign up for their platform for free. On O'Reilly, you can:
– Read Building LLMs for Production.
– Check out some videos I made for the -
Next-Token Prediction Self-Supervised Learning and Uncertainty
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This particular view is a decade out of date. You know that next-token prediction is mostly self-supervised, and as such the problem-solution pairs are "automatically" generated? Doing the same to train "I don't know next token" is a minor reframe, much research exists.
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Train Your Own O1 Preview Model for Under $450
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Sky-T1: Train your own O1 preview model within $450 https://
novasky-ai.github.io/posts/sky-t1/ -
Enterprise AI/MLOps Platform for Executive Leaders and Data Teams
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#AI / #CDO / #CTO / #CAIO execs! — You can use @AbacusAI
's state-of-the-art AI / #MLOps / #LLMOps Platform to run your own models at enterprise scale. Start here to learn more and accelerate your capabilities: http://
abacus.ai/mlops
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#MachineLearning #DataScience #GenAI #LLMs -
Free Claude Mastery Guide from GodofPrompt
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Want a FREE Claude Mastery Guide? Just click below: https://
godofprompt.ai/claude-mastery
-guide
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Survey on LLMs: Capabilities and Limitations Insights
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10). A Survey on LLMs – a new survey on LLMs including some insights on capabilities and limitations.
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Process Reinforcement Implicit Rewards Framework Language Models
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8). Process Reinforcement through Implicit Rewards – a framework for online reinforcement learning that uses process rewards to improve language model reasoning…