🤖 Nvidia Quietly Drops New AI Model That Outperforms Everyone

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In today’s AI Report:

• 💨Nvidia Quietly Drops New AI Model That Outperforms Everyone

• 🎙Salesforce CEO Marc Benioff Explains The AI Agent Revolution

• 📊Merging AI Models to Combine Their Strengths

• 🛠Trending Tools

• 💰Funding Frontlines

• 💼Who’s Hiring?

Read Time: 3 minutes

🗞RECENT NEWS

NVIDIA

💨Nvidia Quietly Drops New AI Model That Outperforms Everyone

Nvidia quietly released a new AI model called Llama-3.1-Nemotron-70B-Instruct, which outperforms industry leaders across various benchmarks.

Key Details:

• Nvidia’s Nemotron Instruct was built using Llama 3.1 70B, an open-source Large Language Model (LLM) developed by Meta’s AI team.

• LLMs are AI models pre-trained on massive amounts of data to generate human-like text.

• Nvidia fine-tuned the LLM using Reinforcement Learning From Human Feedback (RLHF).

• RLHF is a training method that uses human feedback to teach LLMs to self-learn more efficiently and align with human preferences.

• Nvidia’s Nemotron Instruct outperforms OpenAI’s GPT-4o (“o” for “omni”) and Anthropic’s Claude 3.5 Sonnet across various benchmarks:

  1. Arena-Hard-Auto: Contains 500 diverse and difficult user queries to test the quality of LLM responses.

  2. AlpacaEval 2.0: Measures how well LLMs can follow instructions.

• While not perfect, these benchmarks provide the most accurate comparisons of LLMs. These impressive results catapult Nvidia to the forefront of AI research.

AI INDUSTRY INSIGHTS

🎙Salesforce CEO Marc Benioff Explains The AI Agent Revolution

Salesforce CEO Marc Benioff discussed how the “AI Agent revolution is real” and as exciting as the cloud computing movement and the mobile device wave.

Key Details:

• When talking about AI’s potential, Benioff said, “I’ve never been more excited about anything at Salesforce, maybe in my career.”

• He’s referring to Salesforce’s Agentforce, which helps companies build AI agents that work together with humans to drive customer success and enhance existing workflows.

• “I think we’ll have over one billion AI agents running within the next 12 months,” he added.

• However, Benioff also warned that companies “have been told things about enterprise AI, maybe AI overall, that aren’t true.”

• He said that leaders of new companies, such as OpenAI’s CEO Sam Altman, “claim that AI cures cancer and AI solves climate change. That may be possible in the future, but that’s not where we’re at today.”

• “LLMs are great, but they’re not AGI. They’re a constrained AI model you can extend, complement, and make very accurate.”

• Artificial General Intelligence (AGI) is a theoretical concept where AI achieves human-level learning, perception, and cognitive flexibility.

• “It’s about managing expectations while harnessing AI’s capabilities,” Benioff explained.

Why It’s Important:

• AI agents can handle multiple customer interactions simultaneously, significantly reducing response times and increasing the efficiency of customer service operations.

• This allows businesses to handle higher volumes of inquiries without compromising on the quality of service.

🚨Watch Benioff’s 25-minute interview here.

🩺 PULSE CHECK

AI RESEARCH

📊Merging AI Models to Combine Their Strengths

Researchers from Acree AI and Liquid AI developed Differentiable Adaptive Merging (DAM), which involves merging multiple AI models to combine their strengths.

Merging multiple AI models isn’t easy because of the various training methods and fine-tuning actions tailored to each AI model. So, it’s an expensive process that requires specialized knowledge, repeated refinement, and computing power.

DAM is a cost-effective solution that leverages an Adaptive Merging Approach to optimize the combination of AI models through Scaling Coefficients.

In simple terms, DAM helps merge multiple AI models into a bigger and better AI model. It’s like merging several smaller puzzles into a bigger and better puzzle.

Adaptive Merging Approach means that DAM can adjust to different situations (i.e., it’s like combining several different puzzle pieces together until they fit).

Scaling Coefficients are weights that determine the influence of each AI model when they’re combined using DAM (i.e., it’s like giving each puzzle piece a different importance level).

🛠TRENDING TOOLS

💭Code2AI turns your ideas into code.

📱Taplio grows your personal brand on LinkedIn.

🍋Lime is your AI-powered data research assistant.

💬insightbase enables you to chat with your database using AI.

⚙️Gradio 5.0 builds, deploys, and shares Machine Learning (ML) apps.

🔮Browse our always Up-To-Date AI Tools Database.

💰FUNDING FRONTLINES

• Fable secures a $25M Series B to protect digital accessibility in the age of AI.

• Live Aware Labs closes a $4.8M Seed Round for its AI-powered gamer feedback platform.

• Lightmatter raises a $400M Series D for photonic data centers that use light signals instead of electric signals to transmit data.

💼WHO’S HIRING?

• Amazon (Seattle, WA): Data Engineer Intern, Summer 2025

• Adobe (San Jose, CA): Data Scientist Intern, Firefly, Summer 2025

• Zoox (Foster City, CA): AI Agent Behavior Software Engineer Intern/Co-Op, Summer 2025

• Boston Consulting Group {BCG} (Los Angeles, CA): AI Software Engineer Intern, Summer 2025

• Bank of America {BofA} (New York City, NY): Risk Analysis Analyst, Market Behavior Analytics, Entry-Level

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📒FINAL NOTE

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