Grigory Sapunov – Medium

Grigory Sapunov

Grigory Sapunov

GPT-4V is coming!

The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)

6 min readOct 5, 2023

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GPT-4V is coming!

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Grigory Sapunov

LLMs and a possible future for Search

The recent surge of Generative AI has pushed the boundaries of what was previously thought possible.

7 min readDec 22, 2022

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LLMs and a possible future for Search

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Grigory Sapunov

OpenAI and the road to text-guided image generation: DALL·E, CLIP, GLIDE, DALL·E 2 (unCLIP)

Let’s look at the evolution of text-guided image generation models from OpenAI, as there are more datapoints than just DALL·E and DALL·E 2.

21 min readMay 1, 2022

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OpenAI and the road to text-guided image generation: DALL·E, CLIP, GLIDE, DALL·E 2 (unCLIP)

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Grigory Sapunov

Foundation Models

In August 2021 Stanford announced establishing the Center for Research on Foundation Models (CRFM) as part of the Stanford Institute for…

13 min readNov 22, 2021

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Foundation Models

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Grigory Sapunov

Hardware for Deep Learning. Part 4: ASIC

This is a part about ASICs from the “Hardware for Deep Learning” series. The content of the series is here.

49 min readJan 12, 2021

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Hardware for Deep Learning. Part 4: ASIC

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Grigory Sapunov

JAX

JAX by Google Research is getting more and more popular. Deepmind recently announced they are using JAX to accelerate their research and…

6 min readDec 20, 2020

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JAX

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Grigory Sapunov

GPT-3: Language Models are Few-Shot Learners

OpenAI just published a paper “Language Models are Few-Shot Learners” presenting a recent upgrade of their well-known GPT-2 model — the…

11 min readJun 2, 2020

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GPT-3: Language Models are Few-Shot Learners

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Grigory Sapunov

FP64, FP32, FP16, BFLOAT16, TF32, and other members of the ZOO

There are many floating point formats you can hear about in the context of deep learning. Here is a summary of what are they about and…

7 min readMay 16, 2020

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FP64, FP32, FP16, BFLOAT16, TF32, and other members of the ZOO

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Grigory Sapunov

Adaptive Computation Time (ACT) in Neural Networks [3/3]

Part 3: ACT in Transformers

9 min readJan 7, 2020

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Adaptive Computation Time (ACT) in Neural Networks [3/3]

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Grigory Sapunov

Adaptive Computation Time (ACT) in Neural Networks [2/3]

Part 2: ACT in Residual Networks

7 min readJan 3, 2020

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Adaptive Computation Time (ACT) in Neural Networks [2/3]

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Grigory Sapunov

Grigory Sapunov

ML/DL/AI expert. Software engineer with 20+ years programming experience. Loves Life Sciences. CTO and co-Founder of Intento. Google Developer Expert in ML.

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