Read Part 1 here. Introduction In the realm of financial analysis, structured data extraction from complex documents like SEC 10-Q filings can revolutionize how investors make decisions. The 10-Q Analyzer project leverages AI to automate this process, but like any technological solution, it comes with its own set of advantages, disadvantages, and challenges. This blog … Continue reading Building an AI 10-Q Analyzer: Part 2 | Navigating the Pros and Cons of Structured Output from 10-Q Systems
Tag: Large Language Models
Understanding Production RAG Systems (Retrieval Augmented Generation)
1. What is RAG ? Retrieval Augmented Generation (RAG), is a method where you have a foundation model, and you have a library of personal documents – this can be unstructured data in any format. Now your goal is for answering some questions from your persona library of docs, with the help of LLM. Enter … Continue reading Understanding Production RAG Systems (Retrieval Augmented Generation)
What’s LLM Observability ? Latest tools to look out for
2024 is looking to be the year where a lot of applied Large Language Models (LLMs) from enterprise companies, other than the creators of the foundation LLMs, are going to come out of the Proof of Concept (POC) phase to actually being used by their customers. It's gonna be a year of trial and error, … Continue reading What’s LLM Observability ? Latest tools to look out for
Sample Go-To-Market Strategy for an LLM feature- Translate natural language to query language in a database company
Large Language Models (LLMs) have significantly turned the tide towards AI applications being taken seriously by almost every company in every single domain. Now if you a Product Manager, you may come across the ask - Craft a Go-To-Market (GTM) strategy for an LLM feature. So here's a sample GTM strategy for a new LLM … Continue reading Sample Go-To-Market Strategy for an LLM feature- Translate natural language to query language in a database company
The Game Changer: Large Language Models Unleashing the Power of AI in Cybersecurity
Applied Machine Learning and AI in cybersecurity is slowly growing into mainstream industry, not just as an add-on anymore. As threat actors have started automating and streamlining a lot of their attack pipelines using off the shelf Large Language Models, the good actors are essentially forced to catch up with them ! It’s not just … Continue reading The Game Changer: Large Language Models Unleashing the Power of AI in Cybersecurity


