Introduction to BLIP: Making Text Generation Models Multimodal

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In this video, you will learn about BLIP-2 (Bootstrapping Language-Image Pre-training).
In particular, we will learn about the following topics:
(1) How can we make text generation models multimodal?
(2) What is BLIP-2: Bootstrapping Language-Image Pre-training
(3) The BLIP-2 architecture
(4) How does BLIP-2 work?
(5) Running a BLIP-2 model in Python
(6) Advancements after BLIP-2
Links:
Original BLIP-2 paper: arxiv.org/pdf/...
Code file:
colab.research...
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(1) Hands on LLM playlist link (this video belongs to this playlist): • Hands on Large Languag...
(2) LLM from scratch playlist link: • Building LLMs from scr...
(3) Build Neural Networks from scratch playlist link: • Building Neural Networ...
(4) ML Teach by Doing playlist link:
• Machine Learning: Teac...
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[@raghavamorusupalli7557]

Great lecture, your voice elements and screens are in sync. Thank you for sharing this stuff.

[@rahulwala11]

Hi @vizuara can you also please cover an overview concept of distillation and mixture of experts. I mean it will be good to understand how the layers differ in those compared to standard decoder only type gpt model. SO far I am loving all your videos. You have nailed the explaination so well compared to any videos available on youtube. thank you so much for sharing the knowledge.

[@tripchowdhry6124]

Wow another amazing lecture
Can u pls do a video deepseek from scratch