AI/ML

AI/ML

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How People Are Really Using GenAI
How People Are Really Using GenAI
There are many use cases for generative AI, spanning a vast number of areas of domestic and work life. Looking through thousands of comments on sites such as Reddit and Quora, the author’s team found that the use of this technology is as wide-ranging as the problems we encounter in our lives. The 100 categories they identified can be divided into six top-level themes, which give an immediate sense of what generative AI is being used for: Technical Assistance & Troubleshooting (23%), Content Creation & Editing (22%), Personal & Professional Support (17%), Learning & Education (15%), Creativity & Recreation (13%), Research, Analysis & Decision Making (10%).
·hbr.org·
How People Are Really Using GenAI
PrefectHQ/marvin at bramadams.dev
PrefectHQ/marvin at bramadams.dev
✨ Build AI interfaces that spark joy. Contribute to PrefectHQ/marvin development by creating an account on GitHub.
·github.com·
PrefectHQ/marvin at bramadams.dev
Introduction | Ragas
Introduction | Ragas
Ragas is a framework that helps you evaluate your Retrieval Augmented Generation (RAG) pipelines. RAG denotes a class of LLM applications that use external data to augment the LLM’s context. There are existing tools and frameworks that help you build these pipelines but evaluating it and quantifying your pipeline performance can be hard. This is where Ragas (RAG Assessment) comes in.
·docs.ragas.io·
Introduction | Ragas
leapingio/leaping
leapingio/leaping

Leaping's pytest debugger is a simple, fast and lightweight debugger for Python tests. Leaping traces the execution of your code and allows you to retroactively inspect the state of your program at any time, using an LLM-based debugger with natural language.

It does this by keeping track of all of the variable changes and other sources of non-determinism from within your code.

·github.com·
leapingio/leaping
Claude and ChatGPT for ad-hoc sidequests
Claude and ChatGPT for ad-hoc sidequests
Here is a short, illustrative example of one of the ways in which I use Claude and ChatGPT on a daily basis. I recently learned that the Adirondack Park is …
·simonwillison.net·
Claude and ChatGPT for ad-hoc sidequests
Master CrewAI: Your Ultimate Beginner's Guide!
Master CrewAI: Your Ultimate Beginner's Guide!
CrewAI Colab: https://drp.li/OeAmK - CODE In this video, we'll be exploring an AI framework called Crew AI that empowers agents to collaborate and work together seamlessly through role-playing. Think of it as orchestrating an efficient and cohesive crew of AI agents, each with their own unique roles and goals. 🕵️ Interested in building LLM Agents? Fill out the form below Building LLM Agents Form: https://drp.li/dIMes 👨‍💻Github: https://github.com/samwit/langchain-tutorials (updated) https://git hub.com/samwit/llm-tutorials ⏱️Time Stamps: 00:00 Video Overview 00:30 CrewAI Intro 01:13 What is a Good Agent? 01:53 What do you need to create a good agents? 02:37 3 Components of a Good Agent 02:44 A Good Large Language Models 05:02 Good Tools 08:12 A good agent framework 14:29 General Overview of CrewAI 17:27 CrewAI Core Components: Agents 24:47 CrewAI Core Components: Tasks 30:10 CrewAI Core Components: Tools 34:10 CrewAI Core Components: Processes
·youtube.com·
Master CrewAI: Your Ultimate Beginner's Guide!
Have We Reached Peak AI?
Have We Reached Peak AI?
Last week, the Wall Street Journal published a 10-minute-long interview with OpenAI CTO Mira Murati, with journalist Joanna Stern asking a series of thoughtful yet straightforward questions that Murati failed to satisfactorily answer. When asked about what data was used to train Sora, OpenAI's app for generating video with AI,
·wheresyoured.at·
Have We Reached Peak AI?
RAFT: A new way to teach LLMs to be better at RAG
RAFT: A new way to teach LLMs to be better at RAG
In this article, we will look at the limitations of RAG and domain-specific Fine-tuning to adapt LLMs to existing knowledge and how a team of UC Berkeley..
·techcommunity.microsoft.com·
RAFT: A new way to teach LLMs to be better at RAG
‎Cubox: AI Reader & Highlight
‎Cubox: AI Reader & Highlight
‎Cubox is the ultimate tool for reading, learning, and research. With its powerful AI designed specifically for reading, Cubox can help you easily manage collections of web articles, make annotations and take notes while reading, review your knowledge, and share or organize your reading materials eff…
·apps.apple.com·
‎Cubox: AI Reader & Highlight
Dola | Your AI Calendar Assistant.
Dola | Your AI Calendar Assistant.
Dola: a powerful AI calendar assistant managing your personal calendar and group calendar by just chatting. Dola turns voice, texts, pictures and complicated context into schedules. You can also sync Dola with your Google calendar and Apple calendar.
·hidola.ai·
Dola | Your AI Calendar Assistant.
Apple researchers achieve breakthroughs in multimodal AI as company ramps up investments
Apple researchers achieve breakthroughs in multimodal AI as company ramps up investments
Apple researchers achieve state-of-the-art results in multimodal AI with MM1 models, combining text and images for breakthroughs in image captioning, visual question answering, and few-shot learning, as the company invests heavily in AI to enhance Siri, Messages, and future products.
·venturebeat.com·
Apple researchers achieve breakthroughs in multimodal AI as company ramps up investments
What I learned from looking at 900 most popular open source AI tools
What I learned from looking at 900 most popular open source AI tools
Four years ago, I did an analysis of the open source ML ecosystem. Since then, the landscape has changed, so I revisited the topic. This time, I focused exclusively on the stack around foundation models.
·huyenchip.com·
What I learned from looking at 900 most popular open source AI tools