Weekly AI and NLP News — March 6th 2023

Here are your weekly articles, guides, and news about NLP and AI chosen for you by NLPlanet!

😎 News From The Web

• Introducing ChatGPT and Whisper APIs: The ChatGPT API is x10 cheaper than GPT3 API.

• Anthropic begins supplying its text-generating AI models to select startups.

• Microsoft brings its new AI-powered Bing to the Windows 11 taskbar. New Windows updates will have a lot of AI.

• YouTube’s new leader teases AI tools that can virtually swap creators’ outfits and locations.

• Planning for AGI and beyond. OpenAI's steps in making sure that AGI will benefit anyone.

• Snapchat is releasing its own AI chatbot powered by ChatGPT. Initially available only to Snapchat Plus subscribers.

• Voicemod raises $14M for its speech-to-speech AI.

• A New Open Source Flan 20B with UL2. A UL2 model finetuned on the FLAN dataset (instruction tuning). An alternative to Flan-T5.

📚 Guides From The Web

• The Best of NLP: February 2023's Top NLP Papers.

• What's the big deal with Generative AI? Is it the future or the present?

• The Evolution Of Science: From Descartes To Generative AI.

• The technology behind GitHub’s new code search. A look at what went into building the world's largest public code search index. 

🔬 Interesting Papers and Repositories

• WhisperX: A repo for Whisper-Based Automatic Speech Recognition (ASR) with improved timestamp accuracy using forced alignment.

• A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT. A catalog of prompt engineering techniques presented in pattern form that have been applied to solve common problems when conversing with LLMs.

• Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback. The paper introduces LLM-Augmenter system, which augments a black-box LLM with a set of plug-and-play modules

• Directed Diffusion: Direct Control of Object Placement through Attention Guidance. Models often struggle to compose scenes containing several key objects such as characters in specified positional relationships.

• ChatGPT: A Meta-Analysis after 2.5 Months. The paper analyzes over 300,000 tweets and more than 150 scientific papers to investigate how ChatGPT is perceived and discussed.

• EvoPrompting: Language Models for Code-Level Neural Architecture Search. The paper explores the use of LMs as adaptive mutation and crossover operators for an evolutionary neural architecture search (NAS) algorithm.

Thank you for reading! If you want to learn more about NLP, remember to follow NLPlanet. You can find us on LinkedIn, Twitter, Medium, and our Discord server!