If you work in #NLP, it's important to keep up to date with the latest research. In this post, we look at some of the top papers on NLP that were published in November 2022 https://
txt.cohere.ai/top-nlp-papers
-november-2022/
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AI
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Top NLP Research Papers November 2022
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Hyperwrite AI Chatbot Alternative to ChatGPT Now Available
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While OpenAI ChatGPT is under heavy load, you can use our version! The UI might not be as pretty (yet), but with no signup restrictions, you can use it NOW to help you with your writing and pretty much anything else. Try it here: https://
hyperwriteai.com/chatbot -
Configurable AI Models and Safety Mode Control Options
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i think it’s very reasonable for “default models” to be inoffensive, but within some pretty bounds i think people should be able to configure the models to behave how they’d like, eg like turning off safe mode
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Geoff Hinton: Future Computing is Analog, Mortal Computation
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AI pioneer Geoff Hinton says the future of computing is analog, something I’ve long believed. I think he’s right. And, the term mortal computation is a great moniker. // @geoffreyhinton // #computing #AI #deeplearning #mortalcomputation // @NeurIPSConf
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Pivoting Strategy: Improving Results Through Better Prompt Architecture
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so now I am pivoting and basically just going to try better prompt architecture within the application to get good results, I had some fun playing around with simple prompts like this already so I know it could work somewhat well
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Fine-tuned Models Producing Poor Results: Data Quality Issues
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but the results from the fine-tuned models were trash and the responses I was getting were really bad I am assuming it takes either significantly more refined prompt/completion data than what I gave it or just more data (both could be true)
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Initial Fine-Tuning Approach: Breaking Books into Chunks and Generating Questions
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initial approach: oh this seems not too bad, I read this doc https://
beta.openai.com/docs/guides/fi
ne-tuning
… and was like yeah I can just break up the authors' books into chunks and generate some simple questions for each chunk and then use that to fine-tune the model -
Fine-tuning models is easy but data preparation remains challenging
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it was easy to fine-tune the models (sorta, gathering and cleaning the data sucked and it doesn't look like there is any easy automatic process to do this yet in terms of a simple online tool)
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Databricks and Delta Lake Win AWS Reinvent Readers’ Choice Awards
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Our amazing team at AWS #reinvent accepting our two @BigDATAwireNews Readers’ Choice Awards! Thank you again to everyone who voted for Databricks and #DeltaLake 2.0 – this is all because of you!
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Philosophy Author Chatbot Project Using GPT-3 Fine-Tuning
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philosophy author chatbot thing w gpt background: need to create something for my philosophy of AI class idea: fine-tune gpt3 models on text from authors we have read in class and create a chat application where users can talk to these models