Videos
Welcome to our Video Library, where you can access all the insightful videos. Our collection covers a range of topics, from foundational concepts to advanced strategies, providing you with a comprehensive understanding of the latest trends and innovations from past Devday, Conferences, etc.
Apache Spark Under The Hood
February 28, 2025
Then vs. Now of Build Tools
February 28, 2025
1:11:31 Empowering Data Decisions: A Data Engineering Solutions for Integrated Insights
February 17, 2025
1:12:47 Container Security: Understanding the Security Landscape
November 14, 2024
00:05:26 Sahaj Software Corporate Video
October 22, 2024
00:03:03 Client Voice: Technology innovations to transform Talon Outdoor and the Out of Home industry
October 22, 2024
00:04:13 Client Voice: A new ISA platform for Vemo Education to address the US student loan crisis
October 22, 2024
00:03:44 Client Voice: Disrupting OOH media with game-changing solutions
October 22, 2024
00:16:00 The Beginner’s Guide to All Things Sahaj
October 22, 2024
00:07:10 Sahaj – Lending Sixth Sense to a Business with Data Science
October 22, 2024
00:04:59 Sahaj X Citizens GBR – Securing the Great Barrier Reef with Engineering and Collaboration
October 22, 2024
00:26:24 A Playbook For Kickstarting Your Data Journey
October 18, 2024
01:51:40 Dev Day | Understanding the internal workings of databases
October 18, 2024
01:51:14 Uncover the mysteries of IAC
October 18, 2024
01:29:49 The Power of Right Abstractions – The Story of HTTP
October 18, 2024
01:00:43 Testing in Flutter
October 18, 2024
02:32:43 Strangulating infrastructure to containers
October 18, 2024
01:10:09 Starting your journey as Developer
October 18, 2024
00:37:11 Solving real world enterprise problems using Blockchain
October 18, 2024
01:06:50 Shipping LLM Addressing Production Challenges
October 18, 2024
01:29:49 Open language resources and strategies for building speech systems in under-resourced languages
October 18, 2024
01:27:16 MLOps, Data Drift and Concept Drift in Production
October 18, 2024
01:04:29 Mental models used in nation-scale digital certificate platform
October 18, 2024
00:59:49 LLMs in action: Strategies for crafting solutions
October 18, 2024
00:28:46 Decentralized Finance: Business Opportunities and Trend III
October 18, 2024
01:19:04 JVM GC Tuning in containerised environment
October 18, 2024
01:15:20 Intro to Apache Spark 2.x & running a Spark cluster in the cloud
October 18, 2024
00:57:31 From VMs to containers and back again
October 18, 2024
01:07:15 From Concept to Code: Building a Q&A Bot Live with LLM
October 18, 2024
01:18:42 LLM Unleashed: Deep dive into fundamental concepts of LLM
October 18, 2024
00:47:06 Clean Code 101
October 18, 2024
00:37:07 Decentralized Finance: Business Opportunities and Trends IV
October 18, 2024
01:05:19 Decentralized Finance: Business Opportunities and Trends II
October 18, 2024
00:43:03 Decentralized Finance: Business Opportunities and Trends I
October 18, 2024
01:09:42 Classifying Indian addresses for the e-commerce domain
October 18, 2024
01:16:06 Building a search engine for interactive search
October 18, 2024
01:21:56 Automatic Speech Processing for Voice AI
October 18, 2024
00:59:50 LLM Solutions Navigating the landscape
October 18, 2024
From Concept to Code: Building a Q&A Bot Live with LLM
By Karun Japhet, Ajinkya
October 18, 2024
Summary- Trade-Offs in Q&A Bot Development: Karun and Ajinkya discuss the trade-offs involved in developing a high-accuracy Q&A bot, including increased API calls and wait times, but also offering the potential for improved results.
- Data Preparation and Retrieval Challenges: The speakers highlight the importance of robust data preparation and retrieval mechanisms to retrieve relevant information, citing examples where current systems may not be effective.
- The Impact of Increased API Calls: Karun and Ajinkya explain that increased API calls and wait times can lead to longer response times, making it essential to weigh this trade-off against the potential benefits.
- Prompting and Context Relevance in Q&A Bot Development: The speakers touch on the importance of LLM prompting and context relevance metrics, which will be further explored in a subsequent talk.
Generated using GPT-4-o-min.