Hacker News·3yAn important next step on our AI journey
Google is introducing Bard, a conversational AI service powered by LaMDA, which combines the world's knowledge with large language models. AI features will also be added to Google Search to distill complex information into easy-to-digest formats. Additionally, individual developers and enterprises will have access to the Generative Language API, starting with LaMDA.
Hacker News·3ydair-ai/Prompt-Engineering-Guide: 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
This post is a prompt engineering guide that contains papers, guides, lectures, references, and tools related to prompt engineering for large language models. It explains the importance of prompt engineering in developing and optimizing language models for various applications.
Better Programming·3yIs Google’s Flan-T5 Better Than OpenAI GPT-3?
Google's Flan-T5 is a language model that is being compared to OpenAI's GPT-3. Flan-T5 is an open-source transformer-based architecture that uses a text-to-text approach for NLP. It requires fewer parameters, can be trained faster, and is more accessible to the general public. It is also open source, making it accessible for anyone to use for their own projects.
Hugging Face·3yGenerating Stories: AI for Game Development #5
This post discusses the use of AI tools in game development, specifically focusing on storytelling. It highlights the limitations of language models and provides tips for using AI for story content. The post also mentions the emerging landscape of dialog agents and their potential impact on game development. It concludes with a mention of AI-powered NPCs and the possibility of controlling games through voice commands.
Better Programming·3yA Little Bit of Rust
The post explores a problem and its solution presented by Donald Knuth in the 80s, along with an alternative solution provided by Doug McIlroy. It discusses the shortcomings of the original solution and proposes improvements to optimize the algorithm. The post also provides the code in Rust to solve the problem efficiently.
