Difference between revisions of "Meta"
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** [[PyTorch]] authored by Facebook | ** [[PyTorch]] authored by Facebook | ||
* [[Generative Adversarial Network (GAN)]] | * [[Generative Adversarial Network (GAN)]] | ||
| + | * [[Toolformer]] | ||
* [[Assistants]] ... [[Hybrid Assistants]] ... [[Agents]] ... [[Negotiation]] | * [[Assistants]] ... [[Hybrid Assistants]] ... [[Agents]] ... [[Negotiation]] | ||
* [[Capabilities]] | * [[Capabilities]] | ||
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* [[Sequence to Sequence (Seq2Seq)#Retrieval Augmented Generation (RAG)|Retrieval Augmented Generation (RAG)]] ...an end-to-end differentiable model that combines an information retrieval component (Facebook AI’s dense-passage retrieval system ) with a seq2seq generator | * [[Sequence to Sequence (Seq2Seq)#Retrieval Augmented Generation (RAG)|Retrieval Augmented Generation (RAG)]] ...an end-to-end differentiable model that combines an information retrieval component (Facebook AI’s dense-passage retrieval system ) with a seq2seq generator | ||
* [http://pytext.readthedocs.io/en/master/overview.html PyText] ...build end-to-end pipelines for training and inference | * [http://pytext.readthedocs.io/en/master/overview.html PyText] ...build end-to-end pipelines for training and inference | ||
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* [[Bidirectional Encoder Representations from Transformers (BERT)]] | * [[Bidirectional Encoder Representations from Transformers (BERT)]] | ||
** [[StructBERT]] | ** [[StructBERT]] | ||
Revision as of 21:17, 24 February 2023
Meta Platforms
YouTube search... ...Google search
- Facebook AI
- Case Studies
- Metaverse
- Python
- PyTorch authored by Facebook
- Generative Adversarial Network (GAN)
- Toolformer
- Assistants ... Hybrid Assistants ... Agents ... Negotiation
- Capabilities
- Caffe / Caffe2
- AI Marketplace & Toolkit/Model Interoperability
- Natural Language Tools & Services
- Retrieval Augmented Generation (RAG) ...an end-to-end differentiable model that combines an information retrieval component (Facebook AI’s dense-passage retrieval system ) with a seq2seq generator
- PyText ...build end-to-end pipelines for training and inference
- Bidirectional Encoder Representations from Transformers (BERT)
- Bot Framework
- Building Your Environment
- Spell
- DialogFlow
- Decentralized: Federated & Distributed
- Differentiable Programming
- Meta unveils a new large language model that can run on a single GPU | Benj Edwards - Ars Technica ... LLaMA-13B reportedly outperforms ChatGPT-like tech despite being 10x smaller.
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