Embed 3 continues to deliver the same useful enterprise search capabilities as before, including leading multilingual performance.
LLMS
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Embed 3: Multimodal AI Search for Enterprise Data
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Our industry-leading AI search model is now multimodal! Embed 3 enables enterprises to build systems that can accurately and quickly search across both text and image data sources like complex reports, product catalogs, and design files.
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Meta Lingua: Lightweight Framework for Language Model Training
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We recently released Meta Lingua, a lightweight and self-contained codebase designed to train language models at scale. Lingua is designed for research and uses easy-to-modify @PyTorch components in order to try new architectures, losses, data and more.
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New Claude 3.5 models outperform GPT-4o
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New agentic powerhouse: upgraded Claude 3.5 Sonnet leaves GPT-4o in the dust Anthropic just announced two extremely impressive releases, with an improved Claude 3.5 Sonnet and a new Claude 3.5 Haiku ! (Haiku previously only existed in version 3) Claude 3.5 Sonnet: a
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Testing LLM Consistency with Edge Case Generation
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This was a fun weekend project! Generate edge cases with a pretty simple algorithm: 1. Generate two questions that are asking the same thing but worded differently
2. Run those questions through the LLM application
3. Compare the answers – if different, you know one is wrong -
Anthropic releases new Claude 3.5 Sonnet and Computer Use API
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> Available today on the API, developers can direct Claude to use computers the way people do. Also, a new Sonnet 3.5 has been released as well
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Anthropic Releases Claude 3.5 Haiku and Computer Use API
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BREAKING 🚨: Anthropic released Claude Haiku 3.5 and a new API to control user computers!
— 🚨 AI News | TestingCatalog (@testingcatalog) 22 octobre 2024
> by looking at a screen, moving a cursor, clicking, and typing text. https://t.co/syHHgR6kmY pic.twitter.com/zdeQBW0Z2oBREAKING : Anthropic released Claude Haiku 3.5 and a new API to control user computers! > by looking at a screen, moving a cursor, clicking, and typing text.
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LLM Engineers Handbook: Essential Guide for Language Model Development
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Amazon: https://
a.co/d/0ArwFcU GitHub: https://
github.com/PacktPublishin
g/LLM-Engineers-Handbook
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Building LLM Twins: End-to-End Practical Guide with MLOps
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It's centered around an end-to-end practical example to build an LLM Twin. We show how to collect data, transform it, train models, build an advanced RAG pipeline around them, and deploy the result on AWS. All of this using best practices from MLOps.
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LLM Engineer’s Handbook Released: Real-World System Building Guide
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The LLM Engineer's Handbook is officially released! I'm really proud of this book. It's a comprehensive guide to building and deploying LLM systems in the real world. This is the culmination of @iusztinpaul
's and my experience writing LLM courses and articles online.