Gemini AI: Beyond the Basics

Boost your productivity with Gemini AI - AI ML Universe

Author

Pruthvi Batta
April 02, 2025

Gemini AI has truly multimodal capabilities powered by a family of specialized models, including the adaptable Gemmas. This architecture enables Gemini to deliver responses with pinpoint precision. Beyond standard chat functionalities, Gemini offers a range of powerful features designed to simplify our daily workflow.

Today, we'll dive into these productivity-enhancing tools, empowering you to work smarter and more efficiently. After all, our shared goal is to harness the power of AI and maintain a competitive edge in today's dynamic job market.

Today’s Issue:

  1. Use Gemini AI’s data science agent to make data analysis faster and simpler

  2. Customise AI models to match our response type

  3. Get access to state-of-the-art Gemma models and use them for free

Gemini AI’s Data Science Agent

The AI revolution is reshaping data science, and Google's latest integration of the powerful Gemini AI data science agent into Google Colab is a game-changer. Imagine simply describing your analytical needs in natural language and watching Gemini handle the rest—no more tedious coding or manual script writing required!

From seamless data loading to insightful summaries, Gemini manages the entire workflow directly within your Colab environment. Google has further streamlined the process by embedding AI capabilities directly into code cells, allowing you to generate and execute code in one space. Say goodbye to the copy-paste routine between AI chat and your notebook! Dive deeper into this transformative tool and unlock new levels of efficiency. Explore the full blog post on AI ML Universe."

Unlock Faster Insights: Gemini AI for Data Analysis in Colab

Google has finally integrated the Gemini AI with the DS agent into Google Colab. Now, you can state your analytical needs in natural language and get work done.

www.aimluniverse.in/unlock-faster-insights-gemini-ai-for-data-analysis-in-colab

Customised LLM in Seconds

Have you ever faced a case where you needed to generate text following certain instructions and added them to prompt such as: sound like human, use concise text and vocabulary?

It is very time-consuming, and the prompt becomes complex. Google has taken a step forward and created Google Gems. Gems are a customizable range of AI models which can be fine-tuned to our needs for a specific use case.

Use Open-Source Gemma Models

Google, which always makes technology open source, has partnered with Hugging Face and has made Gemma models open source (A lightweight state-of-the-art model focused on specific needs based on technology used in Gemini AI).

What can you do? You can download the model weights and deploy it locally or in your cloud. Use these models for continuous training to customise these models to your specific domain.

Access the Google models from Hugging Face

Find the code snippet on how to load Gemma models using Python and use it with hugging face transformers pipeline.

Gemini models are always evolving and learning; Follow us to stay updated and learn the latest advancements in the field of AI.

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Thanks and regards,
Pruthvi Batta
AI ML Universe