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Big News from OpenAI, they just dropped the latest brainchild: CriticGPT! This new model is here to tackle the growing pains of training increasingly complex AI systems. Intrigued? Let’s dive deep…

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TODAY’S AI News

  • OpenAI Launches “CriticGPT”
  • Leaderboard:Hottest AI Products(May 2024
  • Daily featured AIs boost your career and business.
  • Google Unleashes Gemma 2: More Powerful, More Accessible AI

TODAY’S AI WORLD

  • Perplexity’s Grand AI Heist:Amazon’s cloud division launched an investigation into Perplexity AI to determine whether the AI ​​search startup violated AWS rules to restrict content that was blocked from scraping. To add insult to injury,Forbes claims that Perplexity AI stole content from AI-generated podcasts.
  • Time magazine announces content deal with OpenAIOpenAI and Time magazine have revealed a “multi-year content agreement,” granting OpenAI access to over a century’s worth of Time magazine’s current and archived articles. Concurrently, Time magazine has teamed up with ElevenLabs to incorporate AI-generated audio into its digital platform. Using ElevenLabs’ Audio Native technology, readers can now listen to select articles on Time magazine’s website.
  • Open-source AI Giants Reshuffle: Clem Delangue, co-founder and CEO of Hugging Face, tweeted on the Tops the list of open source models.Hugging Face announced a new ranking of open source large language models. It used 300 NVIDIA H100 GPUs to re-run MMLU-pro and other standards to evaluate the current mainstream large language models, and called Qwen2-72B the “king” in its key points introduction. He also said that many open source models in China have a place on the list.
  •  Sora’s Open-Source Doppelgänger Hits the Scene:as the world’s first open source reproduction solution similar to Sora (OpenAI’s text generation video model), Open-Sora can generate videos based on text on NVIDIA RTX 3090 GPU, with a maximum resolution of 240P, Videos up to 4 seconds long.
  • Google Translate adds 110 new languages:Google Translate just rolled out an epic update, adding 110 new languages—its biggest expansion yet! Thanks to the advancements in the Google PaLM 2 language model, the translation tool now learns languages more efficiently, especially those closely related to each other. This update includes languages from Africa and ones closely related to Hindi and French Creole.

OpenAI

OpenAI’s AI-powered chatbot:CriticGPT

OpenAI developed a model called CriticGPT, based on GPT-4, to help find errors in the code generated by ChatGPT. CriticGPT criticizes ChatGPT’s answers and points out errors, which can help human trainers find problems more effectively and improve accuracy when performing reinforcement learning from human feedback (RLHF). By integrating CriticGPT into the RLHF annotation process, the accuracy and comprehensiveness of AI-generated criticism can be enhanced, thereby improving ChatGPT’s overall performance and alignment.

The Details:

  • Limitations of human evaluation: Current LLM models such as ChatGPT make it difficult for even experienced experts to reliably evaluate the quality and correctness of their output when generating complex code. CriticGPT helps humans evaluate code more accurately by training models to generate natural language comments, thus making up for the limitations of human evaluation.
  • Improved error detection: Code generated by models often contains errors that may not be discovered by human evaluators. CriticGPT excels at detecting these errors, with studies finding that it detects more errors than human contractors.
  • Reduced bias and hallucinations: Although CriticGPT is also likely to produce hallucinatory errors, by collaborating with humans (i.e., human-machine collaborative teams), it is able to significantly reduce these hallucinations while maintaining efficient error detection capabilities.

Why It Matters

RLHF enhances the reliability and ethics of AI systems, mitigating concerns about their behavior. AI models trained with RLHF have shown enhanced capabilities and effectiveness across diverse applications. However, how can we prevent AI models from manipulating reward functions to mislead human evaluators? Additionally, how can we minimize the amount of human feedback needed while still maintaining or enhancing AI performance?

📊Leaderboard

🔥Hottest AI ProductsMay 2024

Ever feel lost in the AI jungle? We’ve got your back! We’ve sifted through thousands of AI tools to bring you the crème de la crème. Our mission? To spotlight the 100 most sizzling AI products on the planet!

This issue is first issue of top 100, and the statistical time is May 24. Welcome to watch:

The Details:

Our aim is to provide users with a convenient way to understand and choose AI products. We hope to more objectively and comprehensively demonstrate the performance of these AI products in the market and user acceptance. Through this list, developers can understand the market performance of their own products and competing products, and then adjust and optimize to improve product competitiveness.


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Google

Google’s AI Game Heats Up with Gemma 2 Release

IMAGE BY :Google

Google has unveiled Gemma 2, an upgraded version of their open-source AI model. This new iteration boasts improved performance and is designed for seamless integration into developer workflows. Gemma 2 builds on the success of its predecessor, which saw over 10 million downloads. It’s now available through Google AI Studio, Kaggle, and Hugging Face Models, with plans for a 2.6B parameter model in the future.

The Details:

  • Open and accessible under a commercially-friendly license
  • Compatibility with major AI frameworks
  • Easy deployment on Google Cloud’s Vertex AI (coming soon)
  • New Gemma Cookbook for practical application guidance
  • Commitment to responsible AI development

Why It Matters:

  • Democratizing AI: Gemma 2’s open nature and broad compatibility lower barriers for AI innovation.
  • Responsible AI Focus: Google’s emphasis on ethical AI development sets a positive industry standard.
  • Performance Boost: Enhanced capabilities could lead to more sophisticated AI applications.
  • Cloud Integration: Upcoming Vertex AI deployment simplifies enterprise adoption.
  • Developer Support: The Gemma Cookbook and various deployment options accelerate development cycles.

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