Nvidia’s reveals an open AI model

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Welcome, AI enthusiasts.

Nvidia already has the AI chip industry within the palm of its hand — and now it’s pushing the open-source LLM sector forward as well.

The chipmaker’s latest ‘Nemotron’ model family unlocks a brand new world of coaching data abilities, paving the way in which for much more powerful AI systems. Let’s dive deeper…

In today’s AI rundown:

  • Nvidia’s latest open-source AI models

  • Chinese startup creates realistic robots

  • Transform presentations into blog posts

  • Tiny LLM matches GPT-4 on math

  • 6 latest AI tools & 4 latest AI jobs

  • More AI & tech news

Read time: 4 minutes

LATEST DEVELOPMENTS

NVIDIA

⚡️ Nvidia’s latest open-source AI models

Image source: Nvidia

The Rundown: Nvidia just introduced Nemotron-4 340B, a family of open-source language models designed to generate high-quality synthetic training data and construct powerful AI applications across industries.

The main points:

  • The three models (Base, Instruct, Reward) form a ‘pipeline’ for creating synthetic data to coach latest, powerful LLMs.

  • Instruct creates high-quality synthetic training data (and was trained on 98% synthetic data), while Reward filters the information for the highest-quality examples.

  • The Nemotron-4 models match or exceed open-source competitors like Llama-3, Mixtral, and Qwen-2 across quite a lot of benchmarks.

  • NVIDIA also released Mamba-2 Hybrid, a selective state-space model (SSM) that surpassed similar transformer-based LLMs in accuracy.

Why it matters: Nvidia just provided a free, open-source model family that not only matches the capabilities of among the top rivals within the space, but additionally excels at crafting synthetic data needed to proceed leveling up latest LLMs. The chipmaking giant is an AI powerhouse of many talents.

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EX-ROBOTS

🤖 Chinese startup creates realistic robots

Image source: Yahoo

The Rundown: A Chinese startup called Ex-Robots is developing ultra-realistic humanoid robots that may closely mimic human facial expressions and emotions.

The main points:

  • Ex-Robots’ lifelike humanoid robots can smile, frown, and replicate subtle facial movements using small motors embedded within the silicone faces.

  • The startup uses multimodal AI and algorithms to enable the robots to acknowledge and express emotions based on perceiving their environment.

  • Creating one humanoid robot currently takes 2-4 weeks, with costs as high as $275k per unit.

  • The corporate said near-term use cases include museum exhibits, with eventual roles in healthcare, therapy, and child services.

Why it matters: The advancement of ultra-realistic robots combined with the ability of AI is about to create some bizarre latest frontiers. Will humans be creeped out by an actual human-looking humanoid over mechanical options like Tesla’s Optimus? It’s unclear if the world is prepared… but we’ll discover soon.

AI TRAINING

 Transform presentations into blog posts

The Rundown: Canva recently introduced an AI feature called ‘Magic Switch’ that robotically converts your presentations into compelling blog posts.

Step-by-step:

  1. Enroll for Canva Pro and access the Magic Studio here (free trial available for one month).

  2. Open your presentation in Canva.

  3. Click on “Resize & Magic Switch” in the highest bar.

  4. Select “Transform into Doc” and choose “Blog Post”.

  5. In a couple of seconds, it’ll generate a complete blog post draft based on the presentation 🎉

Get more AI tutorials →

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The Rundown: webAI’s platform, Navigator, empowers users to construct, develop, and deploy AI-powered solutions quickly and efficiently — no matter ML resources or expertise level.

With Navigator, you’ll be able to:

  • Train, construct, and deploy AI solutions in a single environment

  • Easily connect with data sources and deploy to any device in your network

  • Maintain privacy using models trained on your individual machine

  • Construct using the tools best for you with our no-code and full-code functionality

Get early access to Navigator and begin constructing and harnessing the ability of AI today.

AI RESEARCH

🏅 Tiny LLM matches GPT-4 on math

Image source: Midjourney

The Rundown: Shanghai AI Laboratory researchers just developed a brand new algorithm called MCT Self-Refine, which allowed a comparatively small 8B-parameter model to attain GPT-4 level performance on complex math.

The main points:

  • MCT Self-Refine combines an 8B LLaMa model with Monte Carlo Tree Search, an AI technique famously utilized by Google DeepMind to master the sport of Go.

  • The algorithm constructs a search tree, refining answers through a series of processes and self-evaluation.

  • On the GSM-Hard math word problem benchmark, infusing the Monte Carlo Tree Search took the 8B model from 25.5% accuracy to 45.5%.

  • The model also achieved 96.7% on the GSM8K benchmark, outperforming significantly larger models like GPT-4, Claude, and Gemini.

Why it matters: The research shows it’s possible to spice up math capabilities without massive scale — and GPT-4 level performance with a model trained on 200x less parameters is a formidable feat. If the approach proves to be a more efficient path to advanced reasoning, we could possibly be on the cusp of a brand new wave of model acceleration.

NEW TOOLS & JOBS

Trending AI Tools

  • 🤖 Brave Leo AI – An AI assistant in Brave browser to remain up-to-date with search results

  • 💼 Linkedin AI Job Coach – Find opportunities and generate applications

  • 🔎 Leap AI Lead Research – Enter an email to seek out out all the pieces about that person

  • 🚀 StoryBlock – A CMS to get value from content faster with AI

  • 🧠 Huly – Open-source substitute for Linear/Jira, Slack, Notion, and more

Browse more AI tools →

Latest AI Job Opportunities

  • 🎨 Abridge – Senior Product Designer

  • 💻 Palantir Technologies – Software Engineer, Latest Grad

  • 🧪 Fiddler AI – Staff AI Scientist

  • 🤖 Meta – Software Engineer – ML Systems

Browse more AI jobs →

QUICK HITS

Microsoft is officially delaying the launch of its latest Copilot+ Recall feature, now set to come back as a preview feature available initially to testers within the Windows Insider Program.

Sam Altman has privately revealed that OpenAI is considering transitioning its nonprofit governance structure to a for-profit profit corporation.

McDonald’s is removing its AI-powered drive-thru ordering system tested in over 100 restaurants following viral videos showing customer frustrations and technical issues.

Edward Snowden responded to OpenAI’s addition of former NSA director Paul Nakasone to its board, saying the move is a ‘willful, calculated betrayal of the rights of all and sundry on earth.’

MIT unveiled a brand new study showcasing a 3D technology platform able to mapping the human brain.

Tesla shareholders are suing Elon Musk for diverting talent and resources to xAI, citing a breach of fiduciary duties and unjust enrichment.

THAT’S A WRAP

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