Ejaz Ahamed Shaik's Projects
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone – especially your non-technical colleagues – to take.
Learn AI's role in addressing complex challenges. Build skills combining human and machine intelligence for positive real-world impact using AI
Collection of LeetCode questions to ace the coding interview!
An eBPF Manager for Linux and Kubernetes
In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model.
In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.
cheapBuy Extension provides you ease to buy any product through your favourite website's like Amazon, Walmart, Ebay, Bjs, Costco, etc, by providing prices of the same product from all different websites to extension.
Home of CodeT5: Open Code LLMs for Code Understanding and Generation
New here,thinking of sticking here for a while
Simple game of command line Connect 4
Machine learning and AI projects require managing diverse data sources, vast data volumes, model and parameter development, and conducting numerous test and evaluation experiments. Overseeing and tracking these aspects of a program can quickly become an overwhelming task.
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You’ll explore new advancements like ChatGPT’s function calling capability, and build a conversational agent using a new syntax called LangChain Expression Language (LCEL) for tasks like tagging, extraction, tool selection, and routing.
You’ll get insights into what generative AI can do, its potential, and its limitations. You’ll delve into real-world applications and learn common use cases.
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.
In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.
Simple examples to help you build great software quickly
Start building practical applications that allow you to interact with data using LangChain and LLMs.
In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.
Learning Java (REVISION Q1 2020)
Examples for building and running LLM services and applications locally with Podman
Deploy and setup MLFlow on OpenShift
React
Typescript
Django
Laravel
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Alibaba
D3
Tencent