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Ramprakash Ramamoorthy, Head of AI Research at ManageEngine – Interview Series

Unite.AI

Ramprakash Ramamoorthy, is the Head of AI Research at ManageEngine , the enterprise IT management division of Zoho Corp. As the director of AI Research at Zoho & ManageEngine, what does your average workday look like? Our initial focus was on supplanting traditional statistical techniques with AI models.

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Meet Zamba-7B: Zyphra’s Novel AI Model That’s Small in Size and Big on Performance

Marktechpost

In the race to create more efficient and powerful AI models, Zyphra has unveiled a significant breakthrough with its new Zamba-7B model. The Zamba-7B model is a remarkable achievement in machine learning. license to encourage collaboration within the AI research community.

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Meet Relari: An AI Research Startup Building an Open-Source Platform to Simulate, Test, and Validate Complex Generative AI (GenAI) Applications

Marktechpost

Developers can “stress test” their models in various virtual environments designed to imitate real-world conditions. Imagine this: you want to test your AI chatbot’s capabilities and find any flaws by feeding it millions of simulated talks. Subscribe to our AI Research Startup Newsletter Here.

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Meet Vectorview: An AI Research Startup that Makes It Easy to Evaluate the Capabilities of Foundation Models and LLM Agents

Marktechpost

Artificial intelligence (AI) is quickly changing our lives and careers, from chatbots communicating with consumers to algorithms suggesting your next movie. Even the most advanced AI models are susceptible to biases, security flaws, and unforeseen outcomes. Subscribe to our AI Research Startup Newsletter Here.

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10 Key Takeaways From Sam Altman’s Talk at Stanford

Unite.AI

As the co-founder of the research organization behind groundbreaking AI models like GPT and DALL-E, Altman's perspective holds immense significance for entrepreneurs, researchers, and anyone interested in the rapidly evolving field of AI.

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Meet Mojo: A New Programming Language for AI Developers that Combines the Usability of Python and the Performance of C for an Unmatched Programmability of AI Hardware and the Extensibility of AI Models

Marktechpost

In conclusion, Mojo seems to be a promising language for all AI developers. It combines features of Python and C and enables unparalleled programmability of AI hardware and extensibility of AI models. Check out the Resource.

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AI Learns from AI: The Emergence of Social Learning Among Large Language Models

Unite.AI

Saving Resources: This approach allows for more efficient use of resources, as models learn from each other's experiences without needing direct access to large datasets. Decentralized Learning : The idea of AI models learning from each other across a decentralized network presents a novel way to scale up knowledge sharing.