# Aparna Dhinakaran

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Llama 2: Open Foundation and Fine-Tuned Chat Models

Deep Papers is a podcast series featuring deep dives on today’s seminal AI papers and research. Each episode profiles the people and techniques behind cutting-edge breakthroughs in machine learning. This episode is led by Aparna Dhinakaran ( Chief Product Officer, Arize AI) and Michael Schiff (Chie…

Skeleton of Thought: LLMs Can Do Parallel Decoding

Deep Papers is a podcast series featuring deep dives on today’s seminal AI papers and research. Each episode profiles the people and techniques behind cutting-edge breakthroughs in machine learning. In this paper reading, we explore the paper ‘Skeleton-of-Thought’ (SoT) approach, aimed at reducing …

MLOps vs. LLMOps Panel // LLMs in Conference in Production Conference Part II

MLOps Coffee Sessions #176 with MLOps vs. LLMOps Panel, Willem Pienaar, Chris Van Pelt, Aparna Dhinakaran, and Alex Ratner hosted by Richa Sachdev. // Abstract What do MLOps and LLMOps have in common? What has changed? Are these just new buzzwords or is there validity in calling this ops something…

A Deep Dive Into Generative's Newest Models: Gemini vs Mistral (Mixtral-8x7B)–Part I

For the last paper read of the year, Arize CPO & Co-Founder, Aparna Dhinakaran, is joined by a Dat Ngo (ML Solutions Architect) and Aman Khan (Product Manager) for an exploration of the new kids on the block: Gemini and Mixtral-8x7B. There's a lot to cover, so this week's paper read is Part I in a …

LLM Evaluation with Arize AI's Aparna Dhinakaran // #210

Large Language Models have taken the world by storm. But what are the real use cases? What are the challenges in productionizing them? In this event, you will hear from practitioners about how they are dealing with things such as cost optimization, latency requirements, trust of output, and debuggi…

The AI Abyss: Unraveling the Allure of Killer AI in Film

In the world today, there have been several notable developments related to artificial intelligence (AI). One interesting trend is the use of killer AI as a popular horror villain in films, as highlighted by the New Zealand Herald. This concept has captivated the imagination of filmmakers, who expl…

The Truth About Agents in Production

In this panel discussion from the PyTorch conference, Ben Lorica speaks with Samuel Colvin (Pydantic), Aparna Dhinakaran (Arize AI), Adam Jones (Anthropic), and Jerry Liu (LlamaIndex) about the current state of Agentic AI.  Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.…

How to Run Evals in Claude Code with Aparna Dhinakaran, Founder and CPO of Arize

Today’s episode Many of the smartest AI teams I know are running their evals on Arize. Teams at Uber, Booking.com, Pepsi, and others. It’s become one of the most important skills for PMs. I already had on the CEO of Braintrust, Hamel Husain and Shreya Shankar, and Ankit Shukla. Today I’m adding to …

How PMs Ship 100K Lines of Code at OpenAI with Ryan Lopopolo, Member of Technical Staff

Today’s episode Most companies are still debating whether PMs should ship code. OpenAI is already debating the best ways for PMs to ship code. They’re living in the future. The builder behind a lot of that harness engineering is Ryan Lopopolo. He wrote the OpenAI post on harness engineering and run…

How to Build Frontier-Lab Quality Evals with Daniel McKinnon, ex-PM at Meta, Google

Today’s Episode A developer posted this workflow in March, and it is the clearest picture of where PM is heading that I’ve seen all year. Rasty Turek spent the past year building with coding agents, and he mapped how his process changed over that time. He reckons he now spends around 90% of his tim…