Natural Language to SQL using Google's Gemini Pro Model | SQL Database | Python

Make natural language queries to a SQL Database using Google's Gemini Pro Model. In this video, you will discover how you can harness the power of Google's Gemini Pro Model to query a SQL Database using natural language. This step-by-step tutorial will guide you through setting up a powerful, intuitive, and user-friendly SQL querying system.
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Gemini Pro Vision is a specialized version of Google's more general-purpose Gemini model, specifically fine-tuned for vision tasks. It's trained on a massive dataset of text and images, allowing it to understand the relationship between them.
This enables it to perform various tasks like:
▶ Image generation: Create new images based on textual descriptions or existing images.
▶ Image captioning: Generate detailed descriptions of images.
▶ Image editing: Modify existing images based on instructions.
▶ Object recognition and classification: Identify and categorize objects within images.
▶ Visual question answering: Answer questions about the content of images.
What makes Google's Gemini Pro Model special?
▶ Multimodality: Unlike traditional vision models, Gemini Pro Vision can combine information from text and images, leading to more accurate and nuanced results.
▶ Uncertainty-routed chain-of-thought: This novel approach allows the model to reason through complex tasks and make informed decisions, even in situations with incomplete information.
▶ State-of-the-art performance: Gemini Pro Vision has achieved impressive results on various benchmarks, outperforming other leading models in many tasks.
What are its potential applications?
▶ Creative industries: Generate realistic product mockups, design concept art, or create personalized artwork based on user preferences.
▶ Education and training: Visualize complex concepts or create interactive learning materials.
▶ Accessibility: Generate audio descriptions for images to assist visually impaired individuals.
Robotics and autonomous systems: Help robots understand and interact with the visual world.
Gemini Pro Vision is currently available as part of Google's Vertex AI platform.Gemini Pro Vision represents a significant leap forward in AI's ability to understand and manipulate visual information. Its potential applications are vast, and it's sure to have a major impact on various industries in the years to come.
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#largelanguagemodels #sql

[@prashu25925]

Brilliant Bhavesh. Really helpful. Thanks 👍

[@bhattbhavesh91]

Glad it helped

[@MrSoumyabrata]

Thank you Bhavesh for this amazing video.

[@bhattbhavesh91]

Glad you liked it!

[@DhananJayShembekar]

Hi Bhavesh, I have been following you, great work as always, can you please also provide a example video for dataframes?
For instance, in terms of BA , we also have excel dumps, so can we use pythons dataframe, like telling google that you;re a pandas dataframe expert or something and give it few examples just like your above video, also where can we give it knowledge about the excel file/columns in file or the data it is handling ?
If you can tell me the approach it will really help me out.

[@bhattbhavesh91]

Will upload soon

[@DhananJayShembekar]

Thank you so much@@bhattbhavesh91 . Waiting for the video.

[@igorg.8624]

Has anything changed around this implementation in 2024?

[@padalalikhithrishi]

Can you please also explain how this can be done using langchain libraries and syntax using gemini Ai like:
Natural language to Sql using langchain, Gemini Ai

[@avinashnegi9126]

@bhattbhavesh91 Is there any answer for this?

[@chihebnouri5541]

can you make a video how to do that in angular?

[@AdityaD69]

Can anyone link the fashion_db.sqlite file?
Not able to find it online