Kumar Maddali

Vice President of Product Development at Telenav

[Kumar Maddali @skmaddali]

Same LLM, same data, same agent architecture, and yet different results.

The difference is often the engineering stack: Prompt → Context → Harness → Loop → Graph

The important question: which runtime decisions should architecture constrain at design time?

[elvis @omarsar0]

Corrective RAG

Proposes Corrective Retrieval Augmented Generation (CRAG) to improve the robustness of generation in a RAG system.

The core idea of this paper is to implement a self-correct component for the retriever and improve the utilization of retrieved documents for augmenting generation.

The retrieval evaluator helps to assess the overall quality of retrieved documents given a query. Think of this as a step to improve the reliability of the retrieved documents.

Using web search and optimized knowledge utilization operations can improve automatic self-correction and efficient utilization of retrieved documents. This work also implements an algorithm that eliminates redundant context found in retrieved documents.

The paper has all the experimental results but I really like the idea of using the self-correct components as there are a lot of ways the retriever can go wrong. I think this work offers a promising approach to keep refining and enhancing RAG systems to produce more reliable results.

[Telenav @Telenav]

Telenav Congratulates @GM on the unveiling of its 2021 Cadillac Escalade and Redefines Navigation.

https://t.co/P5pMXBjDmj
#cadillac #escalade #automotive #navigation

[Kumar Maddali @skmaddali]

TELENAV | What is the Secret Sauce behind Local Search? https://t.co/YTp2WaAzPu

[MuleSoft @MuleSoft]

Discover the top six microservices patterns and the advantages and disadvantages of each. https://t.co/1HenH9NLBy

[Kumar Maddali @skmaddali]

https://t.co/HwbheDKq8Z

[Kumar Maddali @skmaddali]

What happened when a professor built a chatbot to be his teaching assistant - The Washington Post https://t.co/K2hLOtAHWw

[Kumar Maddali @skmaddali]

Public Speaking Tips for Product Managers https://t.co/xzsaM28roY via @productplan

[Kumar Maddali @skmaddali]

A brand new ‘atlas’ shows where different ideas live in our brains - The Washington Post https://t.co/5FunE3Uo5x

[Kumar Maddali @skmaddali]

10+2 Data Science Methods that Every Data Scientist Should Know in 2016 - Data Scientist TJO in Tokyo https://t.co/uDSrkR4KkP

[Kumar Maddali @skmaddali]

Using Semantic Markup with WordPress to Improve Your Search Results https://t.co/MPo07Pou52

[Kumar Maddali @skmaddali]

https://t.co/mfsGwP0McR

[Kumar Maddali @skmaddali]

When Product Management Goes Wrong - Part 2 - the Dinosaur https://t.co/tiPykq4Ozl

[Kumar Maddali @skmaddali]

30 Thoughts to Keep You Positive https://t.co/1Avg8TjXOy

[Kumar Maddali @skmaddali]

“34 Remarkable and Surprising Things About The Future” by Pete Flint https://t.co/qYg6N7xiLi

[KDnuggets @kdnuggets]

Next #MachineLearning problem: what to do with 80% accurate algorithm? @CrowdFlower https://t.co/4fcF7ULOF6

[Satya Nadella @satyanadella]

A few of my favorite stories of 2015 – people & organizations harnessing tech to empower others & make a difference https://t.co/B4Z47sGwnY

[Search Engine Land @sengineland]

Google competitors Amazon, Facebook, Yelp are big winners in search this year. https://t.co/v5S2T8kdn8 via @moz

[Manning Publications @ManningBooks]

Solr & Elasticsearch--Modeling Signals to Build Real Semantic Search http://t.co/7DoDO04ISm http://t.co/o5foHaJaZD