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
MACHINE LEARNING
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LATS: Monte-Carlo Tree Search for AI Decision Making
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3/ What is LATS? 1. Select: the best scoring action thus far
2. Expand & act: Generate candidate actions and execute
3. Reflect & evaluate: Observe outcomes and score decisions
4. Backpropagate: update applicable trajectory scores So… Monte-Carlo Tree Search! -
Subobject-level Image Tokenization: Chen et al. Research
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Subobject-level Image Tokenization Chen et al.: https://
arxiv.org/abs/2402.14327 #Artificialintelligence #DeepLearning #MachineLearning -
Browse and Download AI Model Results with Ease
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Step 3: Results Browse through the dozens of results generated by the model and choose whichever you want to download.
Browse through the dozens of results generated by the model and choose whichever you want to download. -
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 -
Autonomous Agents vs Diffusion Transformer Models
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autonomous agent will be better than diffusion + transformer model
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SAS Innovate 2024: Leading AI Data Analytics Conference in Vegas
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SAS Innovate is April 16-19 at ARIA Resort & Casino in Las Vegas. Register now to join this leading #AI / Data / #Analytics experience of 2024: https://
sas.com/gms/redirect.j
sp?detail=PLN22951_174944999
… by @SASsoftware ————
#SASInnovate #DataScience #ML #SASVisionary #ad #DecisionScience -
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: -
Google Acquires Reddit User Data for AI Training in $60M Deal
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Reddit’s previously reported sale of its data for AI training had its mystery buyer revealed today: Google. The $60M deal will grant the search giant access to its user content for AI model training.
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Causal Reasoning: The Next Frontier in Machine Learning
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Causal reasoning is a key next frontier in Machine Learning.