1/ Language Agent Tree Search (LATS) LATS is a unified algorithm that uses self-reflection (and additional external feedback) to self-optimize and efficiently adapt to new tasks and environments. It performs better than similar algorithms like Tree of Thoughts, ReAct, and
TECHNOLOGY
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Japan Regains Its Place in the Semiconductor Market
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[#Article] How Japan Aims to Regain Its Place in the Semiconductor Market https://actuia.com/actualite/comment-le-japon-entend-retrouver-sa-place-dans-le-marche-des-semi-conducteurs/
… #AI #artificialintelligence -
Vector Matching Engine Performs Fast Similarity Search on Embeddings
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QBE (Query-By-Example) does feature vector similarity search. This is better… The @abacusai Vector Matching Engine performs searches on large stores of vector embeddings from text, images, documents & more, in milliseconds using #DeepLearning models: https://
abacus.ai/vectorstore -
Karpathy releases tokenization tutorial covering UTF-8 and byte pair encoding
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ICYMI – Andrej Karpathy has released an excellent video tutorial on "Tokenization" couple of days back. ⦿ Basics covered: Strings, Unicode code points, and encodings like UTF-8.
⦿ Byte pair encoding algorithm explained and implemented in Python.
⦿ Delving into complexities: -
Metaverse Infrastructure Development and Blockchain Integration
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#Metaverse https://
blockchainmagazine.net/metaverse-in-i
nfrastructure/
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Metaverse AI: Crafting Tomorrow’s Virtual Realities Today
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#Metaverse https://
autogpt.net/metaverse-ai-c
rafting-tomorrows-virtual-realities-today/
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AI Animates Digital Realities in the Metaverse
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Animating the #Metaverse : How AI Breathes Life into Digital Realities https://
bnnbreaking.com/tech/animating
-the-metaverse-how-ai-breathes-life-into-digital-realities
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AstraDB Vector Database Integration with LangChain
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@AstraDB Cassandra-based Vector DB Explore the langchain-astradb integration package! Harness the serverless, vector-capable database built on Apache Cassandra for scalable NoSQL solutions enhanced with the power of vector similarity search. https://
python.langchain.com/docs/integrati
ons/vectorstores/astradb
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Groq LPU Achieves 500 Tokens Per Second Inference Speed
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🏎️ Incredible Speeds with Groq's LPU-Powered Inference 🕔
— LangChain (@LangChain) 22 février 2024
The langchain-groq package exposes inference capabilities powered by @GroqInc's Language Processing Units (LPUs), soaring to new heights with up to 500 tokens per second on this @MistralAI Mixtral model. Welcome to the… pic.twitter.com/2aBTv7KCfPIncredible Speeds with Groq's LPU-Powered Inference The langchain-groq package exposes inference capabilities powered by @GroqInc
's Language Processing Units (LPUs), soaring to new heights with up to 500 tokens per second on this @MistralAI Mixtral model. Welcome to the -
DataRobot NVIDIA Partnership Accelerates AI Value Path
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We’re excited to join @NVIDIAGTC next month alongside #AI innovators, technologists and builders. Learn how DataRobot and @nvidia AI can accelerate your path to value with the hardware and software stack built for AI. Stop by booth #1603 to meet with our #appliedAI experts