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Today, we’ll discuss the second part in our two-part series. We will understand the importance of the MCP protocol for communicating between agents. #ai #agents #mcp #protocols #autogen #langchain
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Monitoring & evaluating the leading LLMs (both the established & new) by Python-based evaluator
Analysis of LLM performance across Claude-3, GPT4, Bharat-GPT, and DeepSeek-Chat & identify the potential LLM, which may open a new avenue. #python #cloud #ai #openai #anthropic #bharatgpt #deepseek #llm #monitor #performance
As we’re leaping more & more into the field of Generative AI, one of the frequent questions or challenges people are getting more & more is the performance & other evaluation factors. These factors will eventually bring the fruit of this technology; otherwise, you will end up in technical debt. This post will discuss the key snippets of the monitoring app based on the Python-based AI app. But…
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Enabling & Exploring Stable Defussion – Part 3
Discover how to harness Stable Diffusion locally on an Apple Silicon Pro M4 Max GPU using Hugging Face's tools. This guide simplifies installation, leverages GPU acceleration, and unlocks creative AI possibilities directly on your powerful hardware.
Before we dive into the details of this post, let us provide the previous two links that precede it. Enabling & Exploring Stable Defussion – Part 1 Enabling & Exploring Stable Defussion – Part 2 For, reference, we’ll share the demo before deep dive into the actual follow-up analysis in the below section – Now, let us continue our discussions from where we left. CODE: clsText2Image.py (This…
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Building solutions using LLM AutoGen in Python - Part 3
This post will continue explain the importance of LLM agents & the solutions with little prompts for fine-tuning. #python #autogen #llm
Before we dive into the details of this post, let us provide the previous two links that precede it. Building solutions using LLM AutoGen in Python – Part 1 Building solutions using LLM AutoGen in Python – Part 2 For, reference, we’ll share the demo before deep dive into the actual follow-up analysis in the below section – Let us understand the flow of process by the agents & how they work…
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Coming Soon!
A series of posts related to special topics are coming soon!
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Building the optimized Indic Language bot by using the Python-based Sarvam AI LLMs - Part 2
As we discover in our previous post about the Sarvam AI basic capabilities & a glimpse of code review. Today, we'll finish the rest of the part & some of the matrices comparing against other popular LLMs. #python #sarvamai #llm
As we discover in our previous post about the Sarvam AI basic capabilities & a glimpse of code review. Today, we’ll finish the rest of the part & some of the matrices comparing against other popular LLMs. Before that, you can refer to the previous post for a recap, which is available here. Also, we’re providing the demo here – Now, let us jump into the rest of the code – Code: clsSarvamAI.py…
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Coming soon
We’ll be coming up with a new exciting post shortly. Till then wait for it.
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Coming Soon!
A new exciting post will be coming soon. So, wait till the time.
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Coming Soon!
I’ll be posting this shortly! We’ll address all the remaining pending posts by end of this month.
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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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Please wait for the new post on this website.
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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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