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Daily Digest #469

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Hello folks, next week we have two amazing workshops lined up.

Here’s what we have today;

PICKS
  1. New tutorials:

  2. Google climbs to the top of AI leaderboards. A new experimental version of Gemini 1.5 Pro675 now ranks #1 on the LMsys leaderboard with a huge lead over GPT-4o. We don’t have scores on traditional benchmarks yet, but the initial impressions from Twitterverse are positive. It’s available on Google’s AI studio and Gemini API to test.

  3. GitHub is adding an AI playground to its platform.418 GitHub Models comes with open models like Llama and Mistral and closed ones like GPT-4o and 4o mini from OpenAI. The limited public beta is open for signups now.🍿Our Summary3 (also below)

  4. Enhance RAG response quality with better data preparation495. Unstructured data is notoriously hard to wrangle, but AI systems are hungry for it. Parse, de-identify, chunk, and embed clean, normalized data from any file format for your vector store with Tonic Textual for better quality RAG systems. (sponsor)


TOP TOOLS
  • Wordware353 (YC S24) gives non-technical domain experts an IDE + toolkit to build AI apps and workflows with natural language. Try it out with promo code LAUNCH (I’m an investor).

  • Toby272† - Live speech translation on any video call.

  • Martin367 - Your AI butler with calendar, email, search and more.

  • TorchChat140 - Run PyTorch LLMs locally on servers, desktop and mobile.

  • Trudo AI232† - Python-based workflow builder with AI copilot.

  • Eduwiz277 - Write magical paperwork in a few seconds for free.

  • LangGraph Studio by LangChain214† - Visualize, interact with, and debug complex agent-based applications.

  • Workflows by LlamaIndex226 - Event-driven approach to building multi-agent applications.

  • Clarity283 - Use AI to supercharge founder-led sales.

View more →120


NEWS

View more →72


QUICK BITES

GitHub's giving its 100 million+ users a shiny new AI toy to play with. It’s adding an AI playground418 to its platform. Think of it as your personal AI sandbox, right where you already store your code.

What's going on here?

GitHub's rolling out "GitHub Models," letting developers test-drive various AI models directly on their platform.

What does this mean?

At the core of GitHub Models is a nifty playground to test prompts and fiddle with parameters, all for free.

If you dig what you see, you can seamlessly move to coding with these models in Codespaces or VS Code. And if you're ready for the big leagues, there's a clear path to deploy via Azure too. GitHub promises your prompts and outputs won't be shared or used to train the models.

You can tinker with big-name models like GPT-4o, Llama 3.1, and Mistral Large 2 right on GitHub in the limited beta. More language, vision, and other models are in the pipeline as they gear up for general availability.

Why should I care?

GitHub wants to keep "AI engineers" (software engineers using AI APIs) on their platform. Many are shifting to tools like Replit and Cursor, but GitHub wants to offer native AI access to make their Copilot offering more appealing.

Testing multiple models in one place is a big ask from AI engineers, and entire startups are being built to tackle this. GitHub's current lineup doesn't quite cut it for me though—I'd love to see top models from Anthropic, Google, and OpenAI side-by-side. The current option feels like single-party elections 🫣.

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Daily Digest: Google sneaks to the top
PLUS: GitHub's move to woo AI engineers

less more clicks · number = clicks † = site gone, link opens the Wayback Machine

Most clicked in this issue

675x.com/OfficialLoganK/status/18190414539783578…
495tonic.ai/textual
418×2github.blog/news-insights/product-news/introd…
367trymartin.com
353wordware.ai
283adoptclarity.com
277eduwiz.ai
272trytoby.com
261bensbites.com/tutorial/how-to-prepare-intervi…
258a16z.com/ai-transforms-sales
232trudo.ai
229bensbites.com/tutorial/generate-summaries-of-…

2,553 readers clicked at least once. 40 links, 40 with clicks. Heat is relative to the most clicked link in this issue.

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