Semanlink - NLP: use cases ; Deep Learning AND Question Answering

Printer friendly

Search Tag:

Search Doc:

Preferences...

NLP: use cases ; Deep Learning AND Question Answering

Common descendants

22 Documents

Yangqing Jia sur X : "The new ChatGPT search... Try searching with "what did the most popular post in hacker news say today?"

Tags:

2024-05-03 About

raphaelsrty sur X : "My personal Knowledge Base made to the front page of HackerNews today..."

Tags:

2024-03-23 About

Customizing Agent to Chat with Your Documents | Haystack

Tags:

2023-07-25 About

PromptHub

Tags:

2023-07-07 About

Notebook by OpenAI which demos a Q&A workflow using ChatGPT API· openai/openai-cookbook

Tags:

2023-04-15 About

openai/chatgpt-retrieval-plugin: The ChatGPT Retrieval Plugin

Tags:

2023-04-13 About

Domain Adaptation with Generative Pseudo-Labeling (GPL) | Pinecone

Tags:

2023-04-09 About

Sinequa Brings the Power of ChatGPT to the Enterprise With Neural Search

Tags:

2023-04-07 About

Jo Kristian Bergum sur Twitter : "Do GTP embeddings work for our domain?"

Tags:

2023-04-07 About

Jo Kristian Bergum sur Twitter : "The movement around connecting LLMs with your data via retrieval augmentation seems to lack a focus on retrieval quality."

Tags:

2023-04-07 About

[2009.13013] SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval

Tags:

2023-04-06 About

Release v1.15.0 · deepset-ai/haystack

Tags:

2023-03-30 About

whitead/paper-qa: LLM Chain for answering questions from documents with citations

Tags:

2023-03-29 About

raphaelsty.github.io/knowledge demo

Tags:

2023-03-15 About

Chatbots Gone Wild, Surveillance Takes Hold, Rules for Military AI, Robot Training Streamlined

Tags:

2023-02-23 About

‘I want to destroy whatever I want’: Bing’s AI chatbot unsettles US reporter | Artificial intelligence (AI) | The Guardian

Tags:

Bing+ChatGPT

2023-02-18 About

deepset sur Twitter : " Generative models have taken the world of NLP by storm. But LLMs do not know about your personal data. This makes personal assistants, enterprise knowledge management and many other applications challenging. Retrieval augmented pipelines are the answer"

Tags:

2023-02-02 About

Tags:

perplexity.ai

2023-01-20 About

Akari Asai sur Twitter : "Can we solely rely on LLMs’ memories (eg replace search w ChatGPT)? Probably not... Our analysis shows how retrieval is complementary to LLMs’ parametric knowledge..."

Tags:

2022-12-21 About

[2207.06300] Re2G: Retrieve, Rerank, Generate

Tags:

2022-07-14 About

NAVER LABS Europe : "@Nils_Reimers of @huggingface on 'Unsupervised domain adaptation for neural search'"

Tags:

2022-03-09 About

[2112.07577] GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval

Tags:

An unsupervised domain adaptation technique for dense retrieval models

1. synthetic queries
are generated for each passage from the target corpus (using an existing pre-trained [T5](tag:text_to_text_transfer_transformer)
encoder-decoder)
2. the generated queries are used for mining negative
passages (retrieving the most similar
paragraphs using an existing dense retrieval
model == hard negatives!)
3. the query-passage pairs are labeled by a cross-encoder and used to train the domain-adapted
dense retriever (using method described in [Hofstätter et al.,
2020](doc:2021/12/2010_02666_improving_efficien))

[Nils Reimers sur Twitter](doc:2021/12/nils_reimers_sur_twitter_do_), [GitHub](https://github.com/UKPLab/gpl),  by the author of [TSDAE](doc:2021/09/2104_06979_tsdae_using_trans)

Claims to improve "Doc2Query" [Document Expansion by Query Prediction](doc:2022/01/1904_08375_document_expansion): ([src](https://twitter.com/KexinWang2049/status/1471435779415150598))

> - GPL: Uses doc2query to construct synthetic data and does knowledge distillation (i.e. training) on that data.
> - Doc2query: Generates queries to extend the documents and use BM25 on top of them w/o training.

2021-12-15 About