Difference between revisions of "Toolformer"

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|description=Helpful resources for your journey with artificial intelligence; Attention, GPT, chat, chatbot, videos, articles, techniques, courses, profiles, and tools  
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[https://www.youtube.com/results?search_query=Toolformer+Hybrid+Assistant+natural+language+API+agent YouTube search...]
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[https://www.youtube.com/results?search_query=ai+Toolformer YouTube]
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[https://www.google.com/search?q=Toolformer+Hybrid+Assistant+natural+language+API+agent ...Google search]
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[https://www.quora.com/search?q=ai%20Toolformer ... Quora]
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[https://www.google.com/search?q=ai+Toolformer ...Google search]
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[https://news.google.com/search?q=ai+Toolformer ...Google News]
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[https://www.bing.com/news/search?q=ai+Toolformer&qft=interval%3d%228%22 ...Bing News]
  
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* [[Meta]]  
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* [[Meta]]
 
* [https://arxiv.org/abs/2302.04761 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
 
* [https://arxiv.org/abs/2302.04761 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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* [[Assistants]] ... [[Hybrid Assistants]] ... [[Agents]] ... [[Negotiation]]
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* [[Agents]] ... [[Robotic Process Automation (RPA)|Robotic Process Automation]] ... [[Assistants]] ... [[Personal Companions]] ... [[Personal Productivity|Productivity]] ... [[Email]] ... [[Negotiation]] ... [[LangChain]]
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* [[Natural Language Processing (NLP)]]  ...[[Natural Language Generation (NLG)|Generation]] ...[[Large Language Model (LLM)|LLM]]  ...[[Natural Language Tools & Services|Tools & Services]]
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* [[Large Language Model (LLM)]] ... [[Natural Language Processing (NLP)]]  ...[[Natural Language Generation (NLG)|Generation]] ... [[Natural Language Classification (NLC)|Classification]] ... [[Natural Language Processing (NLP)#Natural Language Understanding (NLU)|Understanding]] ... [[Language Translation|Translation]] ... [[Natural Language Tools & Services|Tools & Services]]
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* [[Python]]   ... [[Generative AI with Python]] ... [[Javascript]] ... [[Generative AI with Javascript]] ... [[Game Development with Generative AI]]
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* [[Python]] ... [[Generative AI with Python|GenAI w/ Python]] ... [[JavaScript]] ... [[Generative AI with JavaScript|GenAI w/ JavaScript]] ... [[TensorFlow]] ... [[PyTorch]]
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* [[Generative AI]] ... [[OpenAI]]'s [[ChatGPT]] ... [[Perplexity]] ... [[Microsoft]]'s [[BingAI]] ... [[You]] ...[[Google]]'s [[Bard]]
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* [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components|Graphical Tools]] ... [[Diagrams for Business Analysis|Diagrams]] & [[Generative AI for Business Analysis|Business Analysis]] ... [[Requirements Management|Requirements]] ... [[Loop]] ... [[Bayes]] ... [[Network Pattern]]
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* [[Attention]] Mechanism/[[Transformer]] Model
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* [[Development]] ... [[Notebooks]] ... [[Development#AI Pair Programming Tools|AI Pair Programming]] ... [[Codeless Options, Code Generators, Drag n' Drop|Codeless]] ... [[Hugging Face]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]]
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* [[Gaming]] ... [[Game-Based Learning (GBL)]] ... [[Games - Security|Security]] ... [[Game Development with Generative AI|Generative AI]] ... [[Metaverse#Games - Metaverse|Games - Metaverse]] ... [[Games - Quantum Theme|Quantum]] ... [[Game Theory]] ... [[Game Design | Design]]
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* [[What is Artificial Intelligence (AI)? | Artificial Intelligence (AI)]] ... [[Generative AI]] ... [[Machine Learning (ML)]] ... [[Deep Learning]] ... [[Neural Network]] ... [[Reinforcement Learning (RL)|Reinforcement]] ... [[Learning Techniques]]
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* [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing/Copilot]] | [[Microsoft]] ... [[Gemini]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[phind]] ... [[Ernie]] | [[Baidu]]
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* [[Attention]] Mechanism ...[[Transformer]] ...[[Generative Pre-trained Transformer (GPT)]] ... [[Generative Adversarial Network (GAN)|GAN]] ... [[Bidirectional Encoder Representations from Transformers (BERT)|BERT]]
 
* [[Prompt Engineering (PE)]] ...[[Prompt Engineering (PE)#PromptBase|PromptBase]] ... [[Prompt Injection Attack]]
 
* [[Prompt Engineering (PE)]] ...[[Prompt Engineering (PE)#PromptBase|PromptBase]] ... [[Prompt Injection Attack]]
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** [[Generative AI for Business Analysis]]
 
 
* [[Proximal Policy Optimization (PPO)]]
 
* [[Proximal Policy Optimization (PPO)]]
 
* [[Natural Language Generation (NLG)]]
 
* [[Natural Language Generation (NLG)]]
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* [[Natural Language Tools & Services]]
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* Build you own...
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* [https://arstechnica.com/information-technology/2023/02/meta-develops-an-ai-language-bot-that-can-use-external-software-tools/?itm_source=parsely-api 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  ...
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** [https://github.com/lucidrains/toolformer-pytorch  Toolformer Pytorch | Lucidrains - GitHub]
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** [https://levelup.gitconnected.com/build-your-own-toolformer-15e232da4db6 Build your own Toolformer | Mykhailo Kushnir - Medium] ... An attempt to reinforce the recent paper from Meta AI
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** [https://toolformerzero.com/ Toolformer Zero]   ... [https://github.com/minosvasilias/toolformer-zero GitHub]
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* [https://arstechnica.com/information-technology/2023/02/meta-develops-an-ai-language-bot-that-can-use-external-software-tools/?itm_source=parsely-api Meta develops an AI language bot that can use external software tools | Benj Edwards - Ars Technica] ... With Toolformer, an [[Large Language Model (LLM)|LLM]] can improve its abilities by calling APIs to external programs  ...
 
* [https://www.marktechpost.com/2023/02/17/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/ 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]
 
* [https://www.marktechpost.com/2023/02/17/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/ 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]
  
  
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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:
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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 | self-supervised]] way, requiring nothing more than a handful of demonstrations for each API. They incorporate a range of tools, including a:
  
 
* calculator
 
* calculator
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* Finally, we finetune the LM itself on the API calls that it considers useful.
 
* Finally, we finetune the LM itself on the API calls that it considers useful.
  
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<youtube>PGSL1h_3cto</youtube>
 
<youtube>PGSL1h_3cto</youtube>
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<b>Toolformer LLM Can Teach Themselves to Use API or Tools Paper Explanation [[Meta]] AI Research
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<b>Toolformer [[Large Language Model (LLM)|LLM]] Can Teach Themselves to Use API or Tools Paper Explanation [[Meta]] AI Research
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</b><br>This short tutorial explains the training objectives used to develop [[ChatGPT]], the new chatbot language model from [[OpenAI]].
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</b><br>This short tutorial explains the training objectives used to develop [[ChatGPT]], the new [[Assistants#Chatbot | Chatbot]] language model from [[OpenAI]].
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<youtube>lQI9S5ngfHQ</youtube>
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<b>Toolformer - Overview
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</b><br>Toolformer: Language Models Can Teach Themselves to Use Tools #nlp #prompts
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Paper Link: https://arxiv.org/abs/2302.04761
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<youtube>ZCdqfIuT81A</youtube>
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<b>Read a paper: Toolformer-- Language Models Can Teach Themselves to Use Tools
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</b><br>
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http://vivekhaldar.com
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http://twitter.com/vivekhaldar
 
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</b><br>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!
 
</b><br>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!
  
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Is ToolFormer really better than [Generative Pre-trained Transformer (GPT) GPT-3]? Is "Mind-blowing AI that will change everything" an overstatement?  
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Is ToolFormer really better than [[Generative Pre-trained Transformer (GPT)]] GPT-3? Is "Mind-blowing AI that will change everything" an overstatement?  
  
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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.
+
Traditional language models, like [[ChatGPT]] built on [Generative Pre-trained Transformer (GPT) GPT-3.5], and to some extent Bing's [[Assistants#Chatbot | 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.
 
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.
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<youtube>ZCdqfIuT81A</youtube>
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<youtube>5gYoZnY69O8</youtube>
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<b>Read a paper: Toolformer-- Language Models Can Teach Themselves to Use Tools
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<b>[[Meta]]'s New AI Better than GPT-3? Toolformer  
 
</b><br>
 
</b><br>
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http://vivekhaldar.com
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YouTube short
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http://twitter.com/vivekhaldar
 
 
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Latest revision as of 12:14, 6 November 2024

YouTube ... Quora ...Google search ...Google News ...Bing News


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

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