TensorLayer
researcher
| TensorLayer | researcher | |
|---|---|---|
| 1 | 8 | |
| 7,275 | 70 | |
| 0.0% | - | |
| 0.0 | 1.8 | |
| about 1 year ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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TensorLayer
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Introduction to ‘TensorLayer’: A Python-based Versatile Deep Learning Library Designed for Machine Learning Researchers
Github: https://github.com/tensorlayer/TensorLayer
researcher
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Microsoft and OpenAI Working on ChatGPT-Powered Bing in Challenge to Google
In this particular case (summarizing search results), it seems to work well. I think anchoring to known information helps avoid a lot of the issues (hallucinations, boring language, etc).
You can check out an open source demo I made if you want to play around with how search + GPT work - https://github.com/VikParuchuri/researcher .
- Show HN: Researcher – answer questions using Google and GPT-3
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A New Chat Bot Is a ‘Code Red’ for Google’s Search Business
I've had the exact same problem, and have experimented with Kagi, DDG, etc, to try to find better results.
ChatGPT, in my opinion, is great for "how do I code X" type questions, but isn't so good at the types of queries you mentioned, due to the lack of a search engine.
My weekend project was an open source combination of Google + GPT that returns pretty good results for these types of queries. You can check it out here - https://github.com/VikParuchuri/researcher
Example - the response to "what are the best current smartphones" is:
`...According to Search Result [2], the best phones have been thoroughly reviewed and tested, and include the Apple iPhone 14 and 14 Pro, the Pixel 7 Pro and the Samsung Galaxy S22 Ultra. Search Result [5] also states that there are strong options available at all price levels, so you don't have to spend a lot to get something great...`
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A new chat feature has been released by You Search
This is very cool! It's nice to see other implementations outside of ChatGPT.
I noticed that it doesn't always cite sources, so I assume that some results are coming straight from an LLM, and some are web search + LLM.
If you're always looking for sources to be cited, I built a project this weekend that will summarize a topic and cite sources - https://github.com/VikParuchuri/researcher . It's definitely slower than this implementation, but it is self-hosted and hackable.
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ChatGPT Caused 'Code Red' at Google, Report Says
I don't think it's a huge lift to restrict a language model to "known" good facts from search results. And to have it cite sources.
I made a proof of concept this weekend - https://github.com/VikParuchuri/researcher . There are some issues, but it's very useful.
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How can I find someone to explain
I built a side project recently to help with this. It searches Google, then feeds the relevant results from the pages into GPT-3 to get a summary. It seems to be accurate so far in my testing - https://github.com/VikParuchuri/researcher .
What are some alternatives?
nngen - NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network
tortoisegit - Windows Explorer Extension to Operate Git; Mirror of official repository https://tortoisegit.org/sourcecode
chainerrl - ChainerRL is a deep reinforcement learning library built on top of Chainer.
gortanagtp - Console Application with Voice and Text Interaction Latest ChatGPT API
gpt-j-chatbot - A GPT-J Chatbot Template for creating AI Characters (Virtual Girlfriend Chatbot, Replika-esque)
Search Engine Parser - Lightweight package to query popular search engines and scrape for result titles, links and descriptions
yagooglesearch - Yet another googlesearch - A Python library for executing intelligent, realistic-looking, and tunable Google searches.
filter-lists - Filter lists for uBlock Origin and other blockers.
SRGAN - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
future - A dystopia simulator powered by ChatGPT
biprop - Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing the network.
git-cola - git-cola: The highly caffeinated Git GUI