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Meta's Toolformer Uses APIs to Outperform GPT-3 on Zero-Shot NLP Tasks
Meta AI Research announced Toolformer, a language model that learns to call APIs to help solve natural language processing (NLP) tasks. Toolformer automatically annotates a training dataset which is used to fine-tune the model and can outperform the much larger GPT-3 model on several zero-shot NLP tasks.
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HuggingGPT: Leveraging LLMs to Solve Complex AI Tasks with Hugging Face Models
A recent paper by researchers at Zhejiang University and Microsoft Research Asia explores the use of large language models (LLMs) as a controller to manage existing AI models available in communities like Hugging Face.
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AI, ML & Data News Roundup: OpenAI’s GPT-4, Microsoft’s Semantic Kernel, Meta SAM and BloombergGPT
This week's roundup for April 3rd, 2023, includes the most recent news and information from the fields of data science, machine learning, and artificial intelligence.
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Meta AI’s Large Language Model with 10x Fewer Parameters
Meta AI recently released a new large language model called Language Large Models Meta AI (LLaMA) that outperforms foundational models such as GPT-3 and is competitive with PaLM, despite having 10 times fewer parameters. LLaMA has better performance in language tasks such as natural questions, common-sense reasoning and mathematical reasoning.
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Stanford Researchers Present AI Framework to Implement and Validate Complex Algorithms
Parsel, an AI framework created by a group of researchers at Stanford, uses large language model (LLM) reasoning to transform hierarchical functions descriptions in natural language into an implementation in code. Additionally, the researchers maintain, Parsel can be used for robot planning and theorem proving.