🤖 PaliGemma – Google's Open Vision Language Model

🦾Plus: 🚨 OpenAI dissolves AI safety team

Hey folks! Let’s get into Big Data and AI craziness…

In today's edition:

  • 📊 RAG With PostgreSQL

  • 👨‍💻 How Google does code review

  • 💬 Cloudflare’s Trillion-Message Kafka Infrastructure

  • 🤖Google Gemini API Developer Competition

  • 🚨 OpenAI dissolves AI safety team

  • 🍎 Apple and OpenAI plan major announcement

  • 🤖 AI Tools and Data Tools to checkout

Here are the 10 curated ChatGpt hands-on projects to boost data science workflows with ChatGPT across ML, NLP, and full stack dev, including links to full project details.

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PaliGemma is a powerful open VLM inspired by PaLI-3 model. Built on open components including the SigLIP vision model and the Gemma language model, PaliGemma is designed for class-leading fine-tune performance on a wide range of vision-language tasks.


With a Retrieval-Augmented Generation (RAG) system, you can create an AI assistant that can answer questions based on the information contained within your existing, in-house knowledge bases like wikis, manuals, training and reference material. Read on to see how you can build your own RAG using PostgreSQL, pgvector, ollama and less than 200 lines of Go code.

This article walks readers through Google's code review process. It covers Google's internal code review tools, the different levels of mandatory approvals, Google's culture around code review, and more. Google's code reviews are more thorough and thoughtful than industry standard.

In the early days of Cloudflare, their architecture was built around a monolithic PHP application. While this approach worked well initially, it created challenges as their product offerings grew. With numerous teams contributing to the same codebase, the monolithic architecture started to impact Cloudflare's ability to deliver features and updates safely and efficiently.

A new AI Developer competition. Build an AI App that integrates with Gemini API. Compete for your share of $1 million in cash prizes. Read more about the competition rules, submission guidelines, prizes, and timeline here.

👨‍💻 Data Tools, Libraries 

Cap
Effortless, instant screen sharing. Open-source and cross-platform. 

PGMQ
A lightweight message queue. Like AWS SQS and RSMQ but on Postgres. 

Freeter
The smartest way to work on your computer.

goldboot
Immutable infrastructure for the desktop!

Kaytu 
The Kaytu CLI helps you save on cloud costs by finding the perfect server sizes. Kaytu analyzes historical usage and provides tailored recommendations, ensuring you only pay for the resources you need.

AI News:

OpenAI has reportedly effectively dissolved its AI safety team focused on long-term risks, following the departure of key leaders Ilya Sutskever and Jan Leike last week. The Superalignment team, formed less than a year ago to ensure the safety of future AI systems, will reportedly be integrated into broader research efforts.

As reported by Bloomberg, Apple and OpenAI are planning a major joint announcement at WWDC on June 10th to bring OpenAI’s AI tech to iOS 18. Apple recognizes the need for a chatbot to compete with rivals but believes its own genAI tech isn't advanced enough.

IDEA Research just unveiled Grounding DINO 1.5, a set of AI models that can accurately detect and ID objects in images and videos without specified training.

Noise-canceling headphones are a godsend for living and working in loud environments. They automatically identify background sounds and cancel them out for much-needed peace and quiet.

Hugging Face, one of the biggest names in machine learning, is committing $10 million in free shared GPUs to help developers create new AI technologies. The goal is to help small developers, academics, and startups counter the centralization of AI advancements.

AI Tutorial

💻 Easily ingest user data for your AI app

The Rundown: Paragon allows users to build useful AI SaaS products by easily extracting users’ data from 100+ sources and adding it to their multi-tenant RAG pipeline.

Here is a quick step-by-step:

  1. Head over to Paragon to sign up for free.

  2. Select the data source (e.g., Notion, Google Drive, CRMs, etc.) and build your initial ingestion job by defining the workflow.

  3. Build background jobs for real-time updates via managed webhooks or CRON jobs and embed the white-labeled authentication modal in your app via the SDK.

  4. Inject the data chunks into your initial prompt and pass it on to your LLMs to generate the final response!

 🔥Top AI tools to increase productivity: 

  1. podcast.ai, a podcast that is entirely generated by artificial intelligence

  2. Clipwing A tool for cutting long videos into dozens of short clips

  3. aiPDF is an innovative, multi-modal tool designed to work with a wide array of inputs, including ebooks, web articles, YouTube videos, podcasts.

  4. 👨‍⚕️ Yuna - An AI-powered mental health coach smartphone app

  5. Sensey is a platform that enriches market and competitive data with AI.

  6. Robopic by StackForward LLC transforms your digital photography experience

View our database of all the best AI tools for your needs: aitoolsup.com 

Have cool resources to share? Submit AI tool 

 

A.I. Generated Image of the Day

👀 Seafood Tower Contest(source)

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