Grigory Sapunov – Medium

Grigory Sapunov

Grigory Sapunov

GPT-4V is coming!

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

Oct 5, 2023

GPT-4V is coming!

Oct 5, 2023

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.

Dec 22, 2022

LLMs and a possible future for Search

Dec 22, 2022

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.

May 1, 2022

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

May 1, 2022

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…

Nov 22, 2021

Foundation Models

Nov 22, 2021

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.

Jan 12, 2021

Hardware for Deep Learning. Part 4: ASIC

Jan 12, 2021

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…

Dec 20, 2020

JAX

Dec 20, 2020

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…

Jun 2, 2020

GPT-3: Language Models are Few-Shot Learners

Jun 2, 2020

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…

May 16, 2020

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

May 16, 2020

Grigory Sapunov

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

Part 3: ACT in Transformers

Jan 7, 2020

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

Jan 7, 2020

Grigory Sapunov

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

Part 2: ACT in Residual Networks

Jan 3, 2020

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

Jan 3, 2020

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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