Unite.AI

Dattaraj Rao

Dattaraj Rao, Chief Data Scientist at Persistent Systems, is the author of the book “Keras to Kubernetes: The Journey of a Machine Learning Model to Production.” At Persistent Systems, Dattaraj leads the AI Research Lab that explores state-of-the-art algorithms in Computer Vision, Natural Language Understanding, Probabilistic programming, Reinforcement Learning, Explainable AI, etc. and demonstrates applicability in Healthcare, Banking and Industrial domains. Dattaraj has 11 patents in Machine Learning and Computer Vision.

Thought Leaders2 years ago

Decoding Opportunities and Challenges for LLM Agents in Generative AI

We are seeing a progression of Generative AI applications powered by large language models (LLM) from prompts to retrieval augmented generation (RAG) to agents. Agents are...
Thought Leaders2 years ago

Moving Large Language Models (LLM) into Real-World Business Applications

Large language models are everywhere. Every customer conversation or VC pitch involves questions about how ready LLM tech is and how it will drive future applications....
Thought Leaders2 years ago

How Large Language Models (LLM) Will Power the Apps of the Future

Generative AI and particularly the language-flavor of it – ChatGPT is everywhere. Large Language Model (LLM) technology will play a significant role in the development of...
Thought Leaders2 years ago

3 Ways to Keep Stale Facts Fresh in Large Language Models

Large Language Models (LLM) like GPT3, ChatGPT and BARD are all the rage today. Everyone has an opinion about how these tools are good or bad...
Thought Leaders3 years ago

Human Data Preparation for Machine Learning Is Resource-Intensive: These Two Approaches are Critical for Reducing Costs

By: Dattaraj Rao, Chief Data Scientist, Persistent Systems As with any system that depends on data inputs, Machine Learning (ML) is subject to the axiom of...
Ethics5 years ago

5 Foundational Pillars for Ensuring Responsible AI

We are seeing overwhelming growth in AI/ML systems to process oceans of data that are being generated in the new digital economy. However, with this growth,...

Unite.AI

Dattaraj Rao

Decoding Opportunities and Challenges for LLM Agents in Generative AI

Moving Large Language Models (LLM) into Real-World Business Applications

How Large Language Models (LLM) Will Power the Apps of the Future

3 Ways to Keep Stale Facts Fresh in Large Language Models

Human Data Preparation for Machine Learning Is Resource-Intensive: These Two Approaches are Critical for Reducing Costs

5 Foundational Pillars for Ensuring Responsible AI