6/ A Survey on Language Models for Code – provides an overview of LLMs for code, including a review of 50+ models, 30+ evaluation tasks, and 500 related works.
LLMS
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GPT-4 Revolutionizes Scientific Discovery Across Drug Biology Chemistry
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3/ LLMs for Scientific Discovery – explores the impact of large language models, particularly GPT-4, across various scientific fields including drug discovery, biology, and computational chemistry.
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Fine-Tuning LLMs for Improved Factuality Without Human Labels
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4/ Fine-Tuning LLMs for Factuality – fine-tunes language model for factuality without requiring human labeling; it learns from automatically generated factuality preference rankings and targets open-ended generation settings.
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Chain-of-Note Improves RAG Model Robustness Against Noisy Documents
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2/ Chain-of-Note – an approach to improve the robustness and reliability of retrieval-augmented language models in facing noisy, irrelevant documents and in handling unknown scenarios.
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World Running Out of Data to Feed AI Models
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The World Is Running Out of Data to Feed AI, Experts Warn. This could slow down the growth of AI models, especially LLMs, and alter the AI revolution. #DataScience #bigdata #analytics #AI #ML #analytics #IoT #Data #DataSets #tech #technews https://
bit.ly/3MUFord -
Chinese companies develop homegrown LLMs with original ideas
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Vinod, Chinese companies are very much on top of it already.
Many have already developed their own home-grown LLMs from scratch.
They're not far behind and they have some original ideas that could actually be useful to the rest of the world.
They don't want to "steal" Western -
Comparing Humans, GPT-4, and GPT-4V on Reasoning Tasks
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Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks Mitchell et al.: https://
arxiv.org/abs/2311.09247 #ArtificialIntelligence #DeepLearning #GPT -
Multi-Index Retrieval and Routing Strategies for AI
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Multi-index retrieval templates Sometimes you want to or need to use information from multiple indexes in your application. There's two basic ways to do this: Route: given a new input, choose (or route to) the most relevant index and retrieve from it. This is most useful when
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LLMs Text Image Processing Embeddings Text-to-Number Conversions
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Explore LLMs in text/image processing via a video on embeddings. Understand text-to-number conversions in AI. Watch for an insightful ML guide:
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How Machines Interpret Prompts Using BERT Models
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Machines interpret prompts using models like BERT, trained to turn meanings into numerical codes, discerning context nuances and sorting meanings, refined by extensive text data.