Daily Digest: Bing's AI overviews

PLUS: Make apps from tables, Mistral Large 2

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Hello folks, here’s what we have today;

PICKS

  1. Tutorial picks:

  2. Bing has an answer to Google’s AI overviews. It’s called Bing Generative Search. The AI-generated answer takes the main spot on the search results page with the blue links pushed to the right side. Bing says they have taken extra care for accuracy (don’t wanna see people eating rocks now, do we?).

  3. Airtable is launching an app builder - The new Cobuilder tool lets you create custom apps instantly using AI. Just use your data in tables, give a prompt and get a custom app. Build, customize and share the apps with your team, without thinking about code or design.

  4. Mistral AI unveils Mistral Large 2, a 123B parameter model with 128k context. It’s stronger in code, math, and reasoning, and supports a ton of languages (both human and code). It is open-source and available on La Plateforme too.🍿Our Summary (also below)

  5. Try Llama 3.1 7B, 70B, and 405B for Free on OctoAI

    Meta’s new models are game-changers for moving from black box LLMs to a data-secure open source strategy. Get fast/affordable inference for the whole Llama herd on octoai.cloud and OctoStack in your environment. See Llama vs. GPT4/Claude here, and evaluate for free with OctoAI. (sponsor)

ps: Gemini has a Twitter account now: @geminiapp

TUTORIALS
TOP TOOLS

  • Kling AI is available worldwide now. No Chinese number is needed. Create cinematic AI videos easily. (more details)

  • X (Twitter) is testing a “more about this account” feature powered by Grok.

  • Tern - Streamline weeks of travel planning in seconds.

  • Tempest AI - Build a game in 10 minutes with no coding.

  • Hey AI - AI to AI universe for dating, build AI cupid for everyone.

  • Hemingway Editor Plus - Edit writing faster with AI.

  • StockBot - Live stock charts, financials, news, and screeners at lightning-fast speed (Llama w/ Groq).

  • MrScraper - Data scraping made simple with AI agents.

  • Mermaid AI - Fast and efficient prompt-to-diagram generation.

NEWS

Unclassifieds - short, sponsored links

QUICK BITES

Mistral AI just unveiled its new Large Language Model (LLM), Mistral Large 2, and it's packing some serious punch. Think better at coding, math, and reasoning, plus it speaks a bunch of languages. Oh, and it's apparently more cost-effective than the competition.

What's going on here?

Mistral AI released a new, more capable AI model called Mistral Large 2.

What does this mean?

Mistral Large 2 has 123B parameters with a 128k context window. That's techspeak for "it's big and can handle long conversations." This bad boy excels at coding, math, and logical reasoning. We have another open-source model that is giving top dogs like GPT-4o a run for their money.

It's multilingual AF. We're talking dozens of languages, including the biggies like Chinese, Arabic, and Hindi. Mistral has beefed up its ability to follow instructions and it's less prone to making stuff up (hallucinating, in AI lingo).

You can download the open weights, use it on Mistral's "la Plateforme" or through cloud providers like Google, Amazon, and Microsoft. Some other deets buried in the post:

  • Mistral is also consolidating the models on its platform with two general-purpose models, Mistral Nemo and Mistral Large, and two specialist models, Codestral and Embed.

  • Older models are still available for deployment and fine-tuning using Mistral’s SDK. Fine-tuning via La Plateforme covers Nemo, Large and Codestral.

Why should I care?

Open-source models have almost caught up to the “frontier models”. These huge models are not usable for individuals yet but businesses can host/fine-tune these instead of going to OpenAI and other close AI providers and paying for their APIs.

Mistral Large 2 is supposedly more cost-effective than other top-tier models. With its multilingual chops, it could also power apps that work well across different languages and markets.

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