Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models Zhou et al.: https://
arxiv.org/abs/2310.04406 #ArtificialIntelligence #DeepLearning #MachineLearning
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Language Agent Tree Search Unifies Reasoning Acting Planning
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Synthetic Data Replacement Ethics and Regulatory Considerations
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another caveat — if they basically replace the grandfathered stuff with "synthetic" data, which is "checked" to be non-overlapping, but covers the knowledge sufficiently.
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GPU Puzzles: Learn CUDA with Interactive Puzzle Challenges
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srush/GPU-Puzzles: Solve puzzles. Learn CUDA. https://
bit.ly/48mMuxE #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Transformers Library Bug Breaks Training Arguments in Latest Version
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FYI I think the latest Transformers from main might have broken this, since I get
“` File "transformers/src/transformers/training_args.py", line 1513, in __post_init__ if self.half_precision_backend != "apex" and len(self.sharded_ddp) == 0:
TypeError: object of type 'bool' -

Communicative Agents for Software Development Applications
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Communicative Agents for Software Development Qian et al.: https://
arxiv.org/abs/2307.07924 #ArtificialIntelligence #SoftwareEngineering #MultiagentSystems -

Fine-Tuning Linear Adapters for Embedding Models
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Fine-Tuning a Linear Adapter for Any Embedding Model https://
bit.ly/44YcZqx #AI #MachineLearning #DeepLearning #LLMs #DataScience -

HyperLogLog Algorithm Advanced SQL Counting Methods
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Say “goodbye” to traditional counting methods and “hello” to advanced #SQL functions! With the HyperLogLog algorithm: Count unique values Merge sketches Estimate distinct counts See how https://
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Type Annotations Demonstrate AI Safety Commitment
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The use of type annotations here shows their commitment to safety
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Tensor Puzzles: Master PyTorch Through Problem Solving
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srush/Tensor-Puzzles: Solve puzzles. Improve your pytorch. https://
bit.ly/3sR168B #AI #MachineLearning #DeepLearning #LLMs #DataScience