Building a real-time Gen AI Improvement Matrices (GAIIM) using Python, UpTrain, Open AI & React

In today's post, we'll discuss the product of an Indian startup's open-source framework, designed for easy evaluation of your LLM models. #python #openai #uptrain #llm #tuning #ai #react

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Creating popular apps using the Gen-AI models using prompt engineering, react, & python

In this post, I’ll be showing how to create a popular app by taking screenshots & right bits of prompt engineering by using Python & react. Please wait for the post!

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Demystifying Modern Data Technologies: Insights from the Global PowerBI Summit

At the Global PowerBI Summit, we explored Lakehouse, Fabric Pipeline, and Notebooks versus Databricks, revealing advantages in data governance, usability, and performance. Fabric's efficiency in model execution and data loading. #fabric #summit #cloud #ms

In an engaging session at the Global PowerBI Summit, we and our co-host delved into the evolving landscape of data technologies. Our discussion aimed to illuminate the distinctions and applications of several pivotal technologies in the data sphere, ranging from Lakehouse vs. Storage Account to the nuanced differences between Fabric Pipeline and Data Pipeline and the critical comparisons of…

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Building a real-time streamlit app by consuming events from Ably channels

In this post, I'll demonstrate the use of Real-time streamlit app to consume events from Ably channel using Python. #python #ably #streamlit #cloud #realtime

I’ll bring an exciting streamlit app that will reflect the real-time dashboard by consuming all the events from the Ably channel. “Coming Soon!”

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Navigating the Future of Work: Insights from the Argyle AI Summit

At the Argyle AI Summit, topics were covered on AI's role in talent management including hiring & retention, dispelling fears and many more. #genai #ai #summit #hiring #impact

Introduction At the recent Argyle AI Summit, a prestigious event in the AI industry, I had the honor of participating as a speaker alongside esteemed professionals like Misha Leybovich from Google Labs. The summit, coordinated by Sylvia Das Chagas, a former senior AI conversation designer at CVS Health, provided an enlightening platform to discuss the evolving role of AI in talent management.…

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Text2SQL Data Extractor (T2SDE) using Python & Open AI LLM

Today, I will explore the search capability by translating text into SQL query generation and execution with Open AI llm, and data retrieval. #python #openai #llm #turbo3.5 #text2sql

Today, I will share a new post that will contextualize the source files & then read the data into the pandas data frame, and then dynamically create the SQL & execute it. Then, fetch the data from the sources based on the query generated dynamically. This project is for the advanced Python developer and data Science Newbie. In this post, I’ve directly subscribed to OpenAI & I’m not using OpenAI…

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Insights and Inspirations from the New York AI Summit

Presented Gen AI strategies at the NY AI Summit, receiving praise. Insightful networking and discussions left me optimistic about AI's growth. #ai #summit #genai #presentation #speaker #guest #scale #solution

I was a guest speaker at the prestigious AI Summit in New York City this week. This gathering brought together some of the most brilliant minds in artificial intelligence. My presentation focused on Gen AI strategies, growth, architecture at scale, and its future scope and challenges, along with the co-presenter Manas. The experience was enlightening and deeply satisfying on both a personal and…

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Validating source data against RAG-response using Open AI, GloVe, FAISS using Python

I'll discuss how LLMs evaluate responses for data validity, crucial for informed business decisions and growth.

Today, I’ll be presenting another exciting capability of architecture in the world of LLMs, where you need to answer one crucial point & that is how valid the response generated by these LLMs is against your data. This response is critical when discussing business growth & need to take the right action at the right time. Why not view the demo before going through it? Demo Isn’t it exciting?…

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Exploring the new Polars library in Python

Today, I will present the Python packages where you can explore most of the complex SQLs by using this new package named "Polars". #Python #polars #sql #analytic #function

Today, I will present some valid Python packages where you can explore most of the complex SQLs by using this new package named “Polars,” which can be extremely handy on many occasions. This post will be short posts where I’ll prepare something new on LLMs for the upcoming posts for the next month. Why not view the demo before going through it? Demo Python Packages: pip install polars pip…

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RAG implementation of LLMs by using Python, Haystack & React (Part - 2)

Today, we explore Haystack framework, contextualizing source data into Vector DBs by selecting the ideal source API attributes. #Python3 #Haystack #VectorDB #RAG #Model #Documents

Today, we’ll share the second installment of the RAG implementation. If you are new here, please visit the previous post for full context. In this post, we’ll be discussing the Haystack framework more. Again, before discussing the main context, I want to present the demo here. Demo FLOW OF EVENTS: Let us look at the flow diagram as it captures the sequence of events that unfold as part of the…

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RAG implementation of LLMs by using Python, Haystack & React (Part - 1)

Today, I will share a new post in a part series about creating end-end LLMs that feed source data with RAG implementation. I'll also use OpenAI python-based SDK and Haystack embeddings in this case. #Python #OpenAI #RAG #haystack #LLMs

Today, I will share a new post in a part series about creating end-end LLMs that feed source data with RAG implementation. I’ll also use OpenAI python-based SDK and Haystack embeddings in this case. In this post, I’ve directly subscribed to OpenAI & I’m not using OpenAI from Azure. However, I’ll explore that in the future as well. Before I explain the process to invoke this new library, why not…

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Hacking the performance of Python Solutions with a custom-built library

Today, I’m very excited to demonstrate an effortless & new way to hack the performance of Python. This post will be a super short & yet crisp presentation of improving the overall performance. Why not view the demo before going through it? Demo Isn’t it exciting? Let’s understand the steps to improve your code. Python Packages: pip install cython Why this way? Cython is a Python-to-C…

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Enabling OpenAI-based NLP engine with SIRI (MacBook/iPad/iPhone) through a proxy-driven restricted API using Python.

This post will showcase an application using a custom API, harnessing the power of Python, Flask & OpenAI, to enhance SIRI's capabilities. #python #openai #ngrok #flask #siri

Today, I’m very excited to demonstrate an effortless & new way to integrate SIRI with a controlled Open-AI exposed through a proxy API. So, why this is important; this will give you options to control your ChatGPT environment as per your principles & then you can use a load-balancer (if you want) & exposed that through proxy. In this post, I’ve directly subscribed to OpenAI & I’m not using…

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Enable OpenAI chatbot with the selected YouTube video content using LangChain, FAISS & YouTube data-API.

This post offers an effective way to feed the discussions to OpenAI bots from YouTube videos in response to the questions asked by the users. #ChainLang #FAISS #OpenAI #Python3 #YouTubeDataAPI

Today, I’m very excited to demonstrate an effortless & new way to extract the transcript from YouTube videos & then answer the questions based on the topics selected by the users. In this post, I plan to deal with the user inputs to consider the case first & then it can summarize the video content through useful advanced analytics with the help of the LangChain & OpenAI-based model. In this…

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Demonstration of GPT-3 model tuning using Python for an upcoming PyPi-package

Today, we'll demonstrate an effortless & new way to fine-tune the GPT-3 model using a Python-based (soon-to-be-published) PyPi package. #Python #GPT3 #FINETUNE #OpenAI #Cloud

Today, I’m very excited to demonstrate an effortless & new way to fine-tune the GPT-3 model using Python with the help of my new build (unpublished) PyPi package. In this post, I plan to deal with the custom website link as a response from this website depending upon the user queries with the help of the OpenAI-based tuned model. In this post, I’ve directly subscribed to OpenAI & I’m not using…

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Tuning your model using the python-based low-code machine-learning library PyCaret

Today's post will discuss on the brilliant low-code machine-learning library named PyCaret, which will optimize your model efficiently. #python #pycaret #modeltuning #lowcode

Today, I’ll discuss another important topic before I will share the excellent use case next month, as I still need some time to finish that one. We’ll see how we can leverage the brilliant capability of a low-code machine-learning library named PyCaret. But before going through the details, why don’t we view the demo & then go through it? Demo Architecture: Let us understand the flow of…

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