Tech Tips, Tricks & Trivia

This Week I Learned -  * Llama 3.2 90B and 11B accept images as well as text and generate text output (image processing is not available in the European Union). Llama 3.2 1B and 3B accept and generate text. All four models can process 131,072 tokens of input context and generate 2,048 tokens of output. Llama 3.2’s vision-language capabilities now drive the company’s Meta AI chatbot. For example, users can upload a photo of a flower and ask the chatbot to identify it or post a picture of food and request a recipe. - The Batch * Llama Stack is a set of APIs for customizing Llama models and building Llama-based agentic applications. By offering tools to build agentic workflows, Llama Stack takes Llama 3.2 well beyond the models themselves. The short course “ Introducing Multimodal Llama 3.2 ” by Amit Sangani, Senior Director of AI Partner Engineering at Meta, shows how to put these models to use. * Gemini Nano is the smallest version of the Gemini model family. * Adobe integrates multiple

Gross domestic product, or GDP for short, is like the financial scoreboard of a country's economic game.  It tallies up the total market value of all the final goods and services made during a particular time period.  The formula to figure out this mega number:  GDP = Consumption + Investment + Government Spending + (Exports - Imports).  Courtesy: The Economist Courtesy: Visual Capitalist Top 15 Countries By GDP (1600-2019) - RankingCharts

This Week I Learned -  *  Gemini Code Assist can support you across key stages of the Software Development Life Cycle (SDLC) like design, build & test and deploy. * Similar to the original GitHub Copilot "AI pair programmer," Google's AI-powered code completion tool, Gemini Code Assist, will be available for free in Microsoft's Visual Studio Code editor until November 8, 2024. The Gemini Code Assist + Google Cloud Code extension can be found in the VS Code Marketplace .  * With over 7,000 languages and countless cultural differences, AI has the potential to foster global understanding. The latest Kaggle competition invites Gen AI practitioners to fine-tune Gemma 2 for a specific language or cultural context . * Fail fast, and learn faster to thrive in an AI-augmented world - The chances of failure are very high in AI projects. You don't want to play it safe, because you can't. * "If you're in an organization with 500+ employees and you don't