
Building an AI Assistant with Whisper and GPT-3.5 in Python — From Audio to Text
Create your own AI assistant (Whisper + GPT), capable of loading audio or video, extracting key topics for your articles or meeting…
Create your own AI assistant (Whisper + GPT), capable of loading audio or video, extracting key topics for your articles or meeting…
BERT and GPT-3 are smashing it in the AI industry. Despite GPT-3’s popularity, and its latest version causing a stir, BERT remain the main…
Adversarial algorithms can systematically probe large language models like OpenAI’s GPT-4 for weaknesses that can make them ...
The most powerful AI model yet from OpenAI, can tell jokes and write bar exams – but can it also cause harm?OpenAI’s latest ...
People on the Discord for the r/ChatGPT subreddit are advertising stolen OpenAI API tokens that have been scraped from other ...
Speaking about the GPT-4 technology, Yuri Shevtsov noted that the technology is not something stunning for specialists. "It ...
I was playing around with Custom GPTs and made one that helps you find fit with an ideal co-founder. It asks you 10 questions compiled by Y Combinator and then evaluates your compatibility with other potential co-founders. Best part? It has long-term memory, so you can answer questions once and then check your compatibility with others multiple times, anytime. I know it was more of a 'nerdy' part rather than 'best'. Anyway, check it out and let me know what you think!Inspired
A lot of people share personal information with ChatGPT. Most people know this. But many might not know that what you write is by default used to train future versions of ChatGPT.It's more concerning because the setting that lets ChatGPT use your chats for training is turned on automatically. This setting is saved only on your device, not OpenAIs servers. So, it's difficult for you to proof that you disabled the flag (if OpenAI is audited, they can say they never received prompt querie
Hey HN community! I'm Kord Campbell, the founder of MittaAI. Previously, I founded Grub and Loggly.In early 2020, as the world grappled with Covid, I embarked on a journey with Mitta.us (the precursor to MittaAI), aiming to create a personal tool for bookmarking, saving, and indexing documents for later search. During that period, I resided in Alameda, California, where I was lucky enough to encounter an OpenAI engineer. This chance meeting led to me gaining early access to ChatGPT. This us
The recent announcement of Google Bard, the company’s new experimental conversational AI service, has created waves across the tech world.
ChatGPT and DALL-E 3 now do most of the prompting for us. Does this mean the end of prompt engineering?
Some Rational Thoughts on the Subject
The leaks surrounding Q* And what it means for AGI
In just 2 days, we’ll be celebrating the one-year anniversary of ChatGPT’s launch. This milestone, transcending boundaries, marks a seismic…
A Step-by-Step Guide Crafting Claude AI Chatbots with Gradio on AWS Bedrock
Prompt injection is a huge security problem for LLM-based apps. Language models don’t have a clean separation between data and instructions, so any LLM that processes untrusted data (e.g. by searching the web) is at risk of being hijacked by malicious instructions embedded in the data.We’re a research team from UC Berkeley, Georgia Tech, and Harvard who built this game to help us understand how people construct prompt injection attacks, and how to defend against them. The game mechanics are expl
I feel like every big push in generative AI over the last 3 years has just been copying OpenAI. Google obviously had Transformers first and has done its own stuff, but until GPT-3 no one else ever considered them seriously, and likewise until Dalle no one considered image generation a valuable route to take.<p>Would we be in an AI winter without their leadership, or did they just give the industry a "push" that would have happened a few years later otherwise?
GAPE (Generative AI-augmented program execution) is an idea I had recently: Mix execution logic of your software code with "common sense reasoning" done by an LLM. The entire approach is more a paradigm than a specific technology. So far reactions reach from fascination to bewilderment. I am curious to get more feedback.I've created a very simple implementation called PyGAPE here: https://github.com/fkostadinov/pygapeWould love to get some feedback, ideas, etc.
Hey Hacker News community,I'm excited to share a project that's close to my heart and, I believe, a game-changer for book lovers around the globe. It's a GPT-4 powered tool that translates eBooks from any language into your native tongue, recompiling them into a perfectly formatted EPUB file.My Journey: For years, I've been an avid reader, primarily consuming books in English. Despite English being my second language, it became my go-to for literature due to the sheer volume
The quality of GPT answers for any given bug substantially depends on the context, including the stack trace in the code where it occurred. If you simply ask without providing an actual example, the response can sometimes be too generic. With Andres GPT, you can ask questions, provide more context, update the code, and try again to see if you are heading in the right direction.<p>It's the perfect companion for those bugs where you don't even know where to start.