Google Bard’s latest update is here! Now with support for Japanese and Korean in extensions. Additionally, the Export to Replit feature has been expanded to include 18 programming languages, including C++ and JavaScript.
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Fine-tuning Machine Learning Models Using Kaggle Environment
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Nonetheless, with just a bit of tinkering, even those models can be easily tamed by most practicing Data Scientists. In his latest post @lucamassaron shows hot to do such fine tuning using nothing more than @Kaggle environment. Read more about it in the link below: 3/4
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Fine-tuning Large Language Models on Kaggle for Real Tasks
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"Fine-tuning a large language model on Kaggle Notebooks for solving real-world tasks — part 3" https://
medium.com/@lucamassaron/
fine-tuning-a-large-language-model-on-kaggle-notebooks-for-solving-real-world-tasks-part-3-f15228f1c2a2
… #AI #ArtificialIntelligence #GenerativeAI #GenAI #largelanguagemodels #llm #llms 4/4 -
PyTorch Uses Own Tensor Engine, Not NumPy
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Actually, PyTorch does not build on NumPy.
It uses its own tensor engine with GPU support, compilation, etc.
The only dependencies on NumPy is to provide some interoperability between NumPy arrays and Torch tensors. -
Fine-tuning challenges and imperfect model performance issues
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Not all of my fine-tunes work perfectly
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Yi APIs Beta Program at Capacity with Exciting Updates Coming
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Thank you for your incredible enthusiasm about Yi's APIs! Our beta program has reached capacity, but for the lucky ones with access, get ready for an exhilarating adventure! Don't forget to keep an eye out for more thrilling updates from Yi – there's plenty more to come!
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AI tools save developers hours of programming struggle
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I am still not over the feeling when it just works and saves you like an hour of struggling to program something. Truly a magic experience.
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Jerry Liu on AI Future: LlamaIndex, RAG, and LLM Solutions
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@jerryjliu0 on the Future of AI: @llama_index, LLMs, RAG, Prompting and more!
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 19 décembre 2023
In this 25th episode, Jerry, co-founder and CEO of LlamaIndex shares valuable insights for anyone implementing LLM solutions. I decided to focus on Retrieval Augmented Generation (RAG) since it is the… pic.twitter.com/oIDkeSUsJ7@jerryjliu0 on the Future of AI: @llama_index
, LLMs, RAG, Prompting and more! In this 25th episode, Jerry, co-founder and CEO of LlamaIndex shares valuable insights for anyone implementing LLM solutions. I decided to focus on Retrieval Augmented Generation (RAG) since it is the -
Google Releases Seven LangChain Notebooks for Gemini Integration
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LangChain x Google The official Google `generative-ai` repo has a ton of resources for getting started with Gemini This includes SEVEN different notebooks for using LangChain to orchestrate a Gemini-powered LLM app Dive into all the goodness: https://
github.com/GoogleCloudPla
tform/generative-ai/tree/main/language/orchestration/langchain
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NVIDIA Releases LangChain AI Endpoints Integration Package
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pip install langchain-nvidia-ai-endpoints https://t.co/ZLZUEgqfMr
— LangChain (@LangChain) 18 décembre 2023pip install langchain-nvidia-ai-endpoints