Challenges and Applications of Large Language Models paper page: https://
huggingface.co/papers/2307.10
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… Large Language Models (LLMs) went from non-existent to ubiquitous in the machine learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify the
LLMS
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Challenges and Applications of Large Language Models
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LLaMa-13B Now Available on Perplexity Platform
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It's live! LLaMa-13B is now available on https://t.co/IDnWKwHckB pic.twitter.com/WTg7G6dnT6
— Perplexity (@perplexity_ai) 20 juillet 2023It's live! LLaMa-13B is now available on http://
llama.perplexity.ai -
Unified Agent Framework with Foundation Models for Multimodal AI
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Towards A Unified Agent with Foundation Models paper page: https://
huggingface.co/papers/2307.09
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… Language Models and Vision Language Models have recently demonstrated unprecedented capabilities in terms of understanding human intentions, reasoning, scene understanding, and planning-like -
Fine-tune LLaMA 2 7B Now Available to Everyone on Replicate
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You can now fine-tune LLaMA 2 7B on Replicate, and we've opened up fine-tuning to everyone. To get started, check out this guide: https://
replicate.com/docs/guides/fi
ne-tune-a-language-model
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Apple GPT with personal data will win consumer AI
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Apple GPT coming to your iPhone next year. Imagine a language model that has access to years worth of your iMessage exchanges, emails, photos, and health data. This is why Apple, while late to the game, will win consumer AI.
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Self-Attention Mechanism in Large Language Models Coding Guide
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Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch https://
bit.ly/3YL821l #AI #DeepLearning #MachineLearning #DataScience -
LangSmith Platform Walkthrough and YouTube Recording Released
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LangSmith Walkthrough We released LangSmith yesterday, and also did a webinar with our good friend @charles_irl walking through the platform in full We've put the recording on YouTube for easy viewing!
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LangChain Latest Release Support Announcement
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Excited to support this in the newest langchain release!
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Data Quality Over Volume: Key to LLM Training
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3/ It's not about the volume of data, but diversity and quality—and getting & maintaining this kind of quality dataset takes work. More on this in the “Quality is all you need” section of the Llama-2 paper.
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Fine-tuning Llama 2: Automating Data Labeling and Curation
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4/ Finally, how do you actually fine-tune Llama 2 for your specific data & objectives? That’s where the data labeling, curation, and development is the hard part. We’re turning this painful manual process into a rapid, iterative, programmatic one like software development.