Elevate your diabetes management game with AI! Join me as I showcase the capabilities of Google's Gemini Vision Pro model in identifying foods and assessing their glycemic index. This video is your guide to understanding the technology behind smart dietary choices, ensuring that every food you consume aligns with your health goals. Stay tuned for personalized recommendations and portion control tips. Upload your food pic, Gemini Vision Pro model reveals its GI & tells you if it fits your diabetes management plan. No more guessing!
▶ Link to the notebook : https://github.com/bhattbhavesh91/glycemic-index-google-gemini/blob/main/glycemic-index-notebook.ipynb
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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If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those.
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You can find me on:
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#googlegemini #aiapplications #largelanguagemodels
▶ Link to the notebook : https://github.com/bhattbhavesh91/glycemic-index-google-gemini/blob/main/glycemic-index-notebook.ipynb
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.
▶ Sponsor me on GitHub : https://github.com/sponsors/bhattbhavesh91/
▶ Join this channel to get access to perks: https://bit.ly/BhaveshBhattJoin
▶ Join the Telegram channel for regular updates: https://t.me/bhattbhavesh91
▶ If you like my work, you can buy me a coffee : https://bit.ly/BuyBhaveshCoffee
*I use affiliate links on the products that I recommend. These give me a small portion of the sales price at no cost to you. I appreciate the proceeds and they help me to improve my channel!
▶ Best Book for Python : https://amzn.to/3qYThqu
▶ Best Book for PyTorch & Machine Learning : https://amzn.to/3PyUkdy
▶ Best Book for Statistics : https://amzn.to/3vzvHEn
▶ Best Book for BERT: https://amzn.to/3lpX0fz
▶ Best Book for Machine Learning : https://amzn.to/2P6aZuT
▶ Best Book for Deep Learning : https://amzn.to/30UMTGl
▶ Best Intro Book for MLOps : https://amzn.to/3AoPZmM
Equipments I use for recording the videos:
▶ 1st Laptop I use : https://amzn.to/3AqI8Fp
▶ 2nd Laptop I use : https://amzn.to/3KAiYsB
▶ Microphone : https://amzn.to/3qUPxtz
▶ Camera : https://amzn.to/3rKQsM2
▶ Mobile Phone : https://amzn.to/3nRHP1f
▶ Ring Light : https://amzn.to/33LedM5
▶ RGB Light : https://amzn.to/3KzLgmS
▶ Bag I use : https://amzn.to/3AsM3RZ
If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those.
If you enjoy these tutorials & would like to support them then the easiest way is to simply like the video & give it a thumbs up & also it's a huge help to share these videos with anyone who you think would find them useful.
Please consider clicking the SUBSCRIBE button to be notified for future videos & thank you all for watching.
You can find me on:
▶ Blog - https://bhattbhavesh91.github.io
▶ Twitter - https://twitter.com/_bhaveshbhatt
▶ GitHub - https://github.com/bhattbhavesh91
▶ Medium - https://medium.com/@bhattbhavesh91
▶ About.me - https://about.me/bhattbhavesh91
▶ Linktree - https://linktr.ee/bhattbhavesh91
▶ DEV Community - https://dev.to/bhattbhavesh91
▶ Telegram - https://t.me/bhattbhavesh91
#googlegemini #aiapplications #largelanguagemodels
- Category
- Artificial Intelligence
- Tags
- Bhavesh Bhatt, Data Scientist, Machine Learning
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