Toolformer

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• Toolformer: Language Models Can Teach Themselves to Use Tools | T. Schick, J. Dwivedi-Yu, R. Dessì, R. Raileanu, M. Lomeli, L. Zettlemoyer, N. Cancedda, & T. Scialom .. Language models (LMs) can teach themselves to use external tools via simple APIs and achieve the best of both worlds
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  • Toolformer Pytorch | Lucidrains - GitHub
  • Build your own Toolformer | Mykhailo Kushnir - Medium ... An attempt to reinforce the recent paper from Meta AI
  • Toolformer Zero ... GitHub
• Meta develops an AI language bot that can use external software tools | Benj Edwards - Ars Technica ... With Toolformer, an LLM can improve its abilities by calling APIs to external programs ...
• Meta AI and UPF Researchers Introduce Toolformer: A Language Model That Learns in a Self-Supervised Way How to Use Different Tools Such as Search Engines via Simple API Calls | Khushboo Gupta - MarketTechPost

The Toolformer methodology uses in-context learning techniques as its foundation to create complete datasets from scratch. Toolformer is a model trained by Meta AI to decide which APIs to call, when to call them, what arguments to pass, and how to best incorporate the results into future token prediction. This is done in a self-supervised way, requiring nothing more than a handful of demonstrations for each API. They incorporate a range of tools, including a:

• calculator
• Q&A system
• search engine
• translation system
• calendar

Toolformer achieves substantially improved zero-shot performance across a variety of downstream tasks, often competitive with much larger models, without sacrificing its core language modeling abilities.

• Given just a handful of human-written examples of how an API can be used, we let a language model (LM) annotate a huge language modeling dataset with potential API calls.
• We then use a self-supervised loss to determine which of these API calls actually help the model in predicting future tokens.
• Finally, we finetune the LM itself on the API calls that it considers useful.

Toolformer In this stream we read the paper "Toolformer: Language Models Can Teach Themselves to Use Tools" coming out of Meta AI Research.

Toolformer LLM Can Teach Themselves to Use API or Tools Paper Explanation Meta AI Research This short tutorial explains the training objectives used to develop ChatGPT, the new Chatbot language model from OpenAI.

Toolformer - Overview Toolformer: Language Models Can Teach Themselves to Use Tools #nlp #prompts Paper Link: https://arxiv.org/abs/2302.04761

Read a paper: Toolformer-- Language Models Can Teach Themselves to Use Tools http://vivekhaldar.com http://twitter.com/vivekhaldar

Better Than GPT-3? Meta Unveils Mind-Blowing AI That Will Change Everything | AI News Everyone is wondering when we'll finally get [Generative Pre-trained Transformer (GPT) GPT-4], but Meta AI's latest research revealed a game-changing AI model called ToolFormer. With ToolFormer, the future of natural language processing just got a whole lot smarter. Welcome to this edition of AI News here on PathFinder! Is ToolFormer really better than Generative Pre-trained Transformer (GPT) GPT-3? Is "Mind-blowing AI that will change everything" an overstatement? Traditional language models, like ChatGPT built on [Generative Pre-trained Transformer (GPT) GPT-3.5], and to some extent Bing's Chatbot Sydney, are limited to their own internal knowledge and training data, which means they can often struggle with basic tasks that fall outside of their core competency of text generation. ToolFormer, on the other hand, can understand what you're asking for, and then figure out the best way to provide an answer or perform a task using the right tool or software program. And it can do all of this nearly autonomously, making it a powerful tool for augmenting human intelligence and improving our ability to perform a wide range of tasks, i.e. the ultimate assistant as far as artificial intelligence goes.

Meta's New AI Better than GPT-3? Toolformer YouTube short