The @Predibase AI Cloud is the most efficient, cost-effective way to #finetune and serve open-source #LLMs and we now offer high-end GPUs (#A100s / #H100s) so you can train even the largest LLMs like #Llama-2-70B. Get started here! https://
pbase.ai/40lQcEf
LLMS
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Predibase AI Cloud Now Supports High-End GPUs for LLM Fine-tuning
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GPT-4 Training Data Transparency: YouTube and Propaganda Sources
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list out all the user data and internet data the model was trained on. Is GPT4 trained on Youtube? On propaganda videos specifically? That's the kind of transparency that will be strictly useful
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FP8 Training Advances for Large Language Models
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FP8-LM: Training FP8 Large Language Models Peng et al.: https://
arxiv.org/abs/2310.18313 #Artificialintelligence #ChatGPT #LargeLanguageModels -

Implementing Llama from Scratch: A Practical Deep Learning Guide
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Llama from scratch (or how to implement a paper without crying) https://
bit.ly/3PmBVCi #AI #MachineLearning #DeepLearning #LLMs #DataScience -
AI Model Integration Methods: API vs Fine-tuning vs Training
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Are you currently working with an API or with a model directly (e.g. open-source or proprietary)? More details on the options:
– API (OpenAI, Claude…)
– Fine-tuning an open-source model
– Training from scratch a model (llama, Mistral…)
– Not using any AI models
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Evaluating LLMs: Hugging Face Guide
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Great write up on how to evaluate LLMs by our friends at @huggingface !
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DPO Training Now Available in AutoTrain Advanced
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Want to train your own zephyr-like model or want to improve on it! Good News! DPO Training just landed in AutoTrain Advanced. Now train your own custom DPO models without writing a single line of code
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Evaluating LLM Performance: Metrics, Benchmarks, and Model Selection
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Learn about perplexity, evaluation metrics, and curated benchmarks to compare LLM performance with practical tools and resources to select the right model for your specific needs and tasks. I also asked Plato what he thinks about LLMs and how to compare them…
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Free Course: Training and Fine-Tuning LLMs for Production
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This is the fourth video for our free course "Training & Fine-Tuning LLMs for Production" made with @activeloop
, @towards_AI and the @Intel Disruptor initiative. Tl;dr: We show everything about LLMs (train, fine-tune, RAG…), for free!
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Evaluating and Benchmarking Large Language Models Effectively
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Good morning fellow AI enthusiast! In this iteration, we look into how to evaluate and benchmark Large Language Models (LLMs) effectively.