Is Generative AI at the peak of Hype Cycle?

PLUS: Meta AI's Instruction Backtranslation, AI Life Coach by Google DeepMind

Hey there 👋

Gartner's 2023 Hype Cycle thrusts Generative AI into the spotlight, projecting its transformative impact within 2 to 5 years. Speaking of insights, we also have Arthur Bench stepping in as the matchmaker and simplifying the intricate process of selecting the LLM that best fits your application.

On the other side, Meta AI introduced a novel approach to training LLMs where these models are practically becoming their own teachers. And here is the best one! Google DeepMind is testing an AI tool that can answer your life's biggest questions, from "What's the meaning of life?" to "Should I have pizza for dinner?" 🍕🤔

Keep scrolling to know it all.

This issue covers:

• Latest Developments 🌍

• Tools of the Trade ⚒️

• Hot Takes 🔥

• AI Meme of the Day 🤡

Read time: 3 mins

Latest Developments 🌍

Is Generative AI at the peak of Hype Cycle? 🏔️

Generative AI has landed a top spot on Gartner's 2023 Hype Cycle for emerging technologies, with big things expected in the next 2-5 years. This Hype Cycle distills over 2,000 technologies into must-know insights, spotlighting the potential of AI and other transformative tech.

Find Your Perfect LLM Match 🧩

Arthur, an ML monitoring startup just released Arthur Bench. It’s an opensource tool for finding the top performing LLM for your data. Whether you're team ChatGPT or rooting for Anthropic, making an informed decision has never been this straightforward.

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LLM Training got an Upgrade ⏫

Meta AI recently introduced a new approach to better train LLMs called Instruction Backtranslation. This clever approach lets language models generate their own learning prompts from web articles. Their LLaMa series of models are trained with this strategy which now dominates the Alpaca leaderboard.

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Google's AI Life Coach 🧘‍♀️

Google's DeepMind is dabbling with a new AI tool that could become your personal life coach, answering even intimate life questions. While this tool promises assistance in diverse areas, from life advice to workout plans, it's stirring up a debate. Many AI experts are waving red flags about the ethical implications of such close human-chatbot relationships. As AI integrates deeper into our lives, the boundaries are getting fuzzier and the calls for regulation louder.

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Tools of the Trade ⚒️

• CodiumAI: Offers in-IDE test suggestions for developers, for smarter coding, increased value creation, and enhanced code confidence.

• DevOpsGPT: Combines LLM and DevOps tools to transform natural language requirements into functional software.

• ChatHN: Opensource AI chatbot to interact with the Hacker News API in natural language.

• Ramble Fix: Turns messy speech into clear and polished text fast.

• Fetchy: AI-powered platform that supports educators with over 50 teaching tools, expert advice, and resources to simplify tasks.

😍 Enjoying so far, TWEET NOW to share with your friends!

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Hot Takes 🔥

• It’s entirely natural that AI hype has died down a bit. We can’t stay 100% excited forever. It’s human nature. ~ Nathan Lands

• deep reflection on AI safety brought me to the conclusion that almost nothing in life is motivated by "power" power is always instrumental.
  some people pursue it because it's fun. some people pursue it to create more of what they want to see in the world ~ roon

• Any politician who wants to ban self-driving cars from cities on the grounds of safety should also want to ban human-driven ones, since they're even less safe. ~ Paul Graham

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Meme of the Day 🤡

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That’s all for today!

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