This AI newsletter is all you need #33

What happened this week in AI by Louis ChatGPT and generative AI are still hot topics this week. ChatGPT reportedly reached 100 million monthly active users in January, making it one of the fastest-growing apps in history. This success is leading to increased pressure on incumbent companies to integrate the latest LLM technology into their products. Open AI has launched several integrations with Microsoft as well as details of its subscription plan for ChatGPT. Google has also announced the upcoming release of its new ChatGPT competitor called “Bard” which is built on its LaMDA model. After its partnership with OpenAI, Microsoft is preparing to launch a version of its Bing search engine using ChatGPT, aiming to become more competitive with Google. ChatGPT has become more accessible through integration into Microsoft’s release of Teams Premium. OpenAI is also planning to launch a mobile GPT app and test a video-generating AI. The rapid adoption of this technology also raises new questions and Microsoft, GitHub, and OpenAI are facing a proposed class action complaint that accuses them of scraping licensed code to build GitHub’s AI-powered Copilot tool. The companies have asked the court to dismiss the complaint. OpenAI has launched a pilot subscription called ChatGPT Plus, to monetize its viral success. The service offers faster response times, access to ChatGPT during peak times, and priority access to new features and improvements. It starts at $20 per month. The early rumors were that the ChatGPT Plus feature would cost $42 per month, and many people believed it was too expensive. However, now that it’s priced at $20 per month, do you think it’s worth subscribing to? This issue is brought to you thanks to Qdrant: Qdrant open-source vector search engine launches managed cloud platform Qdrant — robust vector similarity search engine with advanced filtering support. It is written in Rust, which ensures stability and high performance proved by benchmarks. The managed cloud platform is now fully available for business use, allowing companies of any size to benefit from Qdrant’s cutting-edge features without handling its deployment and maintenance. Qdrant cloud platform can be accessed through the website. Hottest News 1.Is ChatGPT Coming for Your Job? ChatGPT has been a topic of discussion since its launch, with opinions divided between its potential benefits and perceived threats. While some experts see ChatGPT as a tool that could greatly enhance AI-human partnerships, many people are unsure of how to react to it. This article asked the robot itself, what impact the ChatGPT could have on the engineering profession. 2. Big Tech was moving cautiously on AI. Then came ChatGPT Small companies are driving AI to the masses, prompting Big Tech to respond. Three months before ChatGPT’s launch in November, Meta, Facebook’s parent company, introduced a similar chatbot, Blenderbot. However, Blenderbot failed to create the same excitement as ChatGPT. According to Yann LeCun, Chief Artificial Intelligence Scientist at Meta, the reason it was boring was that it was made safe. 3. Cool things that happened at Scale AI’s Generative AI hackathon In this Twitter thread, @alexandr_wang shared a list of the most interesting projects, including the winning projects created by the ~300 hackers who attended Scale AI’s Generative AI hackathon last week. 4. The AI literacy project TheGP is seeking to connect with talented hackers and quick prototypers who are actively contributing in the fields of engineering, product, or design as part of the AI Literacy project. They aim to share and publish insights gathered from various builders and provide further learning opportunities by delving into deeper discussions on topics such as accessibility & application of language models, toolkits they use, and enhancing productivity & creativity with LLMs. 5. Gaslighting and reality in AI 2022 was the year when generative AI left the lab and gained widespread recognition. Gary Marcus reflects on what has and hasn’t changed in recent years and provides a series of examples demonstrating the ease with which generative AI can produce nonsensical results and its superficial understanding of reality. Three 5-minute reads/videos to keep you learning 1.How to build a chatbot that answers questions about documentation and cites its sources The tutorial was initially hosted via a live stream on our Learn AI Discord. It teaches you how to build Buster, a chatbot that answers questions related to the Hugging Face transformers library while referencing its sources. It outlines the three critical components required to make Buster function: gathering data from the documentation, constructing a document retrieval system & ranking the most relevant sources, and generating text based on the user’s question and providing the answer. 2. Guide and resources for prompt engineering This GitHub guide includes a collection of recent papers, educational resources, datasets, and tools relevant to prompt engineering. It also features a compilation of blog posts and books for further learning. 3. AI-enabled executives: how ChatGPT will sharpen strategic thinking The article discusses how ChatGPT can enhance strategic thinking and decision-making capabilities, such as anticipating and planning for the future, thinking critically and creatively about complex problems, and making effective decisions in uncertain situations. 4. When to Build vs. Buy Your Data Warehouse (5 Key Factors) Nishith Agarwal, the Head of Data and ML Platforms at Lyra Health and the creator of Apache Hudi, draws on his experiences at both Uber and Lyra Health to present five considerations that impact the decision to build or buy the data warehouse, data lake, and data lakehouse layers of a data stack. These considerations include cost, complexity, expertise, time to value, and competitive advantage. 5. How to build a simple semantic search engine In this Twitter thread, Cohere presents a step-by-step guide on how to construct a basic semantic search engine. The steps involved include obtaining a list of texts to search, embedding the archive of questions, converting the embeddings into indexes, and others. Enjoy these papers and news summaries? Get a daily recap in your inbox! The Learn AI Together Community section! Upcoming Community Events The Learn AI Together Discord community hosts weekly AI seminars to […]