Jigesh Shah (@jigesh_shah) 's Twitter Profile
Jigesh Shah

@jigesh_shah

Engineering Manager (Quality)| Quality Advisor| Automation and Performance Test Architect| Expertise in Performance Engineering, SQL optimization and Tuning |

ID: 864323540

calendar_today06-10-2012 08:01:15

115 Tweet

62 Followers

252 Following

Agile Testing Days (@agiletd) 's Twitter Profile Photo

The intent of this workshop is to educate the audience on chaos engineering, the role of QA and the different techniques and strategies that can be applied to achieve the path of site reliability. ➡️ bit.ly/3JR7IZc

The intent of this workshop is to educate the audience on chaos engineering, the role of QA and the different techniques and strategies that can be applied to achieve the path of site reliability.

➡️ bit.ly/3JR7IZc
.NET (@dotnet) 's Twitter Profile Photo

Level up your GPT game with prompt engineering. Learn more about it and how you can refine the inputs you provide to OpenAI models to produce more relevant responses. 📖 msft.it/6011geYH3

Level up your GPT game with prompt engineering. 

Learn more about it and how you can refine the inputs you provide to OpenAI models to produce more relevant responses. 📖 msft.it/6011geYH3
UiPath (@uipath) 's Twitter Profile Photo

Calling all problem solvers! Join HyperHack 2023 and win big with UiPath! 💡💰 Solve business problems, showcase innovation, and grab your chance at the awards! bit.ly/UiPath_Hyper_H…

Lana Begunova (@therunninglight) 's Twitter Profile Photo

📱Appium architect Jonathan Lipps Jonathan Lipps covers new features of #Appium2: 📽️ youtu.be/PsCUoqPtac8 Highlights include: ✔ Tour of changes in how Appium is used including the new Appium CLI ✔ Overview of the Appium driver ecosystem ✔ Overview of the Appium plugin ecosystem

Santiago (@svpino) 's Twitter Profile Photo

To start with Machine Learning: 1. Learn Python 2. Practice using Google Colab Take these 2 free courses: • Introduction to Python Programming (Udacity) • Machine Learning Crash Course (Google) If you need a bit more time before diving deeper, finish the following Kaggle

To start with Machine Learning:

1. Learn Python 
2. Practice using Google Colab 

Take these 2 free courses:

• Introduction to Python Programming (Udacity)
• Machine Learning Crash Course (Google)

If you need a bit more time before diving deeper, finish the following Kaggle
Learnk8s (@learnk8s) 's Twitter Profile Photo

A Curated List of Kubernetes Labs and Tutorials: - A $0 learning platform for all levels - from the ground up - Over 500+ highly interactive Docker tutorials and guides - Well tested on Kubernetes Cluster and can be run on a browser ➜ github.com/Collabnix/kube…

Marie Cruz 🇵🇭 (@mcruzdrake) 's Twitter Profile Photo

Contract Testing in Action is currently the third best-seller in Manning! A massive thank you to everyone who has supported and purchased the book! 🥳 Pick up your copy here to learn how contract testing can help: mng.bz/PZyP.

Contract Testing in Action is currently the third best-seller in Manning! A massive thank you to everyone who has supported and purchased the book! 🥳 

Pick up your copy here to learn how contract testing can help: mng.bz/PZyP.
Frank Nielsen (@frnknlsn) 's Twitter Profile Photo

Must-read excellent books with 🆓 PDF available to download from the author/book web pages: 👉 franknielsen.github.io/Books/CuratedB…

Must-read excellent books with 🆓 PDF available to download from the author/book web pages:

👉 franknielsen.github.io/Books/CuratedB…
Deedy (@deedydas) 's Twitter Profile Photo

How to understand Github code repos with LLMs in 2 mins. Even after 10yrs of engineering, dissecting a large codebase is daunting. 1 Dump the code into one big file 2 Feed it to Gemini-1.5Pro (2M context) 3 Ask it anything. Here's, I dissect DeepFaceLab, a deepfake repo: 1/11

How to understand Github code repos with LLMs in 2 mins.

Even after 10yrs of engineering, dissecting a large codebase is daunting.
1  Dump the code into one big file
2 Feed it to Gemini-1.5Pro (2M context)
3 Ask it anything.

Here's, I dissect DeepFaceLab, a deepfake repo:

1/11
Jigesh Shah (@jigesh_shah) 's Twitter Profile Photo

I described the prompt to AI in just 11 attempts at the Prompt it Right ✅ game! Think you can do better? Stop by the InfraCloud booth (S5) and try! If you're at the NVIDIA AI Summit, let's catch up ✨👋 #NvidiaAISummit #ICatNAI #PromptGame

Swapna Kumar Panda (@swapnakpanda) 's Twitter Profile Photo

9 FREE Books from MIT for Absolute Beginners - Artificial Intelligence (AI) - Machine Learning (ML) - Deep Learning (DL) - Reinforcement Learning (RL)

9 FREE Books from MIT for Absolute Beginners

        - Artificial Intelligence (AI)
        - Machine Learning (ML)
        - Deep Learning (DL)
        - Reinforcement Learning (RL)
Aurimas Griciūnas (@aurimas_gr) 's Twitter Profile Photo

AI Agents 101: 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗠𝗲𝗺𝗼𝗿𝘆. In general, the memory for an agent is something that we provide via context in the prompt passed to LLM that helps the agent to better plan and react given past interactions or data not immediately available. It is useful to group

Paul Couvert (@itspaulai) 's Twitter Profile Photo

Anthropic has released a full guide to building AI Agents There's both a YT video and a detailed blog post with all the necessary tips. Everything you need to know below (And links to resources)

Anthropic has released a full guide to building AI Agents

There's both a YT video and a detailed blog post with all the necessary tips.

Everything you need to know below

(And links to resources)
TuringPost (@theturingpost) 's Twitter Profile Photo

OctoTools, an open-source training-free framework from Stanford University, helps LLMs use external tools to reasoning across different domains. It uses 3 key components: • Tool cards – Standardized units that define each tool’s function. • Planner – Handles high-level and low-level

OctoTools, an open-source training-free framework from <a href="/Stanford/">Stanford University</a>, helps LLMs use external tools to reasoning across different domains.

It uses 3 key components:

• Tool cards – Standardized units that define each tool’s function.
• Planner – Handles high-level and low-level
TuringPost (@theturingpost) 's Twitter Profile Photo

8 free sources about AI Agents: ▪️ Agents, Google's whitepaper ▪️ Agents in the Long Game of AI (book) ▪️ AI Engineer Summit 2025: Agent Engineering (video) ▪️ AI Agents course from Hugging Face ▪️ Artificial Intelligence: Foundations of Computational Agents, 3rd Edition, book

8 free sources about AI Agents:

▪️ Agents, <a href="/Google/">Google</a>'s whitepaper
▪️ Agents in the Long Game of AI (book)
▪️ AI Engineer Summit 2025: Agent Engineering (video)
▪️ AI Agents course from <a href="/huggingface/">Hugging Face</a>
▪️ Artificial Intelligence: Foundations of Computational Agents, 3rd Edition, book
. (@ictaashiqana_) 's Twitter Profile Photo

-performance in SENA -century in AUS,WI,ENG -50 + test average -No Bangladeshi fans -No choking on the big stage -2nd Most 50+ for India in SENA Tests -2nd most Test runs for India at 23 age All this at the age of 23,REAL ALPHA MALE YASHASVI JAISWAL 🤌