Ask Madhukar - Techbytes

 Google just launched a free learning path for Generative AI. If you're in tech, business, or just curious, this is worth a look. 𝟏. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: 👉 https://lnkd.in/g7eqXQ7H ↳ Explain how generative AI works ↳ Describe generative AI model types ↳ Describe generative AI applications 𝟐. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐋𝐋𝐌: 👉 https://lnkd.in/gijvaHyZ ↳ Define large language models (LLMs) ↳ Describe LLM use cases ↳ Explain prompt tuning ↳ Describe Google’s generative AI development tools 𝟑. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐥𝐞 𝐀𝐈: 👉 https://lnkd.in/gWSjT4Zq ↳ Identify the need for a responsible AI practice within an organization ↳ Recognize that decisions made at all stages of a project make an impact in Responsible AI ↳ Recognize that organizations can design an AI infrastructure to fit their own business needs and values ♻️ Repost this to help your network get started 

 Suggest the best laptop for ai model training that can be bought in Bangalore Top Laptops for AI Model Training (2025, Bangalore) Model Name GPU/CPU RAM Key Features & Reasons to Buy Approx. Price (INR) Availability ASUS ROG Zephyrus G14 AMD Ryzen 9/7, RTX 40XX series 16/32GB Compact, powerful CPU/GPU for deep learning; reliable ventilation 1,60,000–2,10,000 Major electronics retailers[1][2] HP Victus 15-fb3025AX Ryzen 7, NVIDIA RTX 4050+ 16/32GB Good for large datasets and image/video tasks, gaming build for high performance 1,40,000–1,60,000 HP, Amazon, local stores[3][4] Holoware AI Laptop Intel Core Ultra 5/7, Intel Arc GPU 16/32GB DDR5 India’s dedicated AI laptop, optimized for ML workloads, DDR5 RAM, efficient cooling ~1,80,000+ Direct via Holoware, Bangalore[5] HP Omen/Acer Nitro/ASUS TUF series Ryzen 7/9, RTX 4070/4080 (NVIDIA) 16–32GB RTX 4070+ GPUs, high TGP, suited for prolonged ML/deep learning tasks 1,70,000–2,00,000+ Amazon sale, HP/ASUS stores[2][4] Lenovo IdeaP...

There is an annoying "passwords" button stuck on the Mac OS desktop. Check this link out for a detailed description & probable workarounds. Pressing cmd+ left click helped me get rid of it in my case.   https://discussions.apple.com/thread/252109550?answerId=254260694022&sortBy=rank#254260694022

 

  Overview This article walks through configuring your website user's SSH connection to your DreamHost server so you will no longer have to enter your password. Background Once you set up a  shell user  and try to log in via  SSH , you'll find you must enter your password each time. If you’d like to avoid entering your password every time, you can set up Passwordless Login. This way, you'll be able to automatically log in immediately without needing to enter your password. How to configure passwordless login The following instructions configure Passwordless Login for any Unix, Linux, OSX, or Cygwin machine. In this article,  username@server.dreamhost.com  is used as the login example. Make sure to replace username with your actual  shell username . Make sure to replace the servername with your  DreamHost servername . Additionally, you can use the default key name of  id_ed25519  or create a custom key name. Make sure you use the key name...

  Google just dropped their  biggest Al updates ever during Google I/O 2025.  Here are 13 new Al updates you can't miss: Gemini Live. You can now turn on your camera, point at anything, and talk to Gemini about it in real time Imagen. Google's best image model yet Veo 3. The first video model with native sound generation Deep Research Project Astra. A JARVIS-like research prototype exploring the capabilities of a universal Al assistant Google Flow. Al filmmaking tool for creators Agent Mode. A new feature in the Gemini app that lets you state a goal, and Gemini will handle the steps to achieve it Google Jules. Jules is an Al-powered coding assistant that can read your code, write tests, fix bugs, and update dependencies Al Mode in Search. Al Mode transforms Google Search into a conversational assistant Real-time speech translation in Google Meet Google Beam. An Al-first video communication platform that turns 2D video stream...

Worth investing time on learning the Model context protocol using a free course provided by huggingface.   https://huggingface.co/learn/mcp-course/unit0/introduction

RAG (Retrieval-Augmented Generation) focuses on enhancing AI responses by retrieving external data, while MCP (Model Context Protocol) standardizes how AI interacts with various data sources and tools. Overview of RAG Definition: RAG is an AI architecture that improves the accuracy and relevance of responses generated by large language models (LLMs) by pulling in up-to-date information from external sources, such as databases or APIs, before generating a reply. 2 Functionality: When a user submits a query, RAG retrieves relevant content from connected data sources and appends this information to the input prompt, enriching the model's context with real-world relevance. This helps reduce inaccuracies and hallucinations in AI responses by grounding them in verifiable sources. 2 Use Cases: RAG is particularly useful in scenarios where real-time data is crucial, such as customer support, news aggregation, and any application requiring current information. 3 Sources Overview of MCP Defi...

PostgreSQL, or Postgres, is an object-relational database management system that utilizes the SQL language. PSQL is a powerful interactive terminal for working with the PostgreSQL database. It enables users to execute queries efficiently and manage databases effectively. Here, we highlight some of the most frequently used PSQL commands, detailing their functionalities to enhance your PostgreSQL experience. Top PSQL Commands in PostgreSQL Here are the top 22 PSQL commands that are frequently used when querying a PostgreSQL database: Serial No.CommandDescription1 psql -d database -U user -W Connects to a database under a specific user 2 psql -h host -d database -U user -W Connect to a database that resides on another host 3 psql -U user -h host "dbname=db sslmode=require" Use SSL mode for the connection 4 \c dbname Switch connection to a new database 5 \l List available databases 6 \dt List available tables 7 \d table_name Describe a table such as a column, type, modifiers of c...

How to deploy Ollama  Installation: Download Ollama:   Get the Ollama package from the  GitHub repository .   Install Dependencies:   Ensure you have any required dependencies, including libraries for your specific model.   Verify Installation:   Use  ollama --version  to confirm Ollama is installed correctly.   2. Model Deployment and Usage: Pull the Model:   Use the  ollama pull <model_name>  command to download the desired model.   Run the Model:   Use  ollama run <model_name>  to initiate the model's execution.   Interacting with the Model:   Ollama provides an API at  http://localhost:11434/api/generate  for interacting with the model.   Optional: Web UI:   Explore  Open WebUI  for a user-friendly interface to manage and interact with models.   Optional: Custom Applications:   Build custom applications using libraries like FastAPI and Gr...