Isaac Kargar – Medium

3 days ago

SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks

Encoding the driving scene in an autonomous driving system is a very important task that has not yet been solved completely. This work is one of the most recent ones that I found interesting among the many researchers who are working to encode driving scenes using graph neural networks. …

Autonomous Cars

9 min read

SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks

Autonomous Cars

9 min read

Published in AIGuys

·Jan 27

Recipes for building an open-domain chatbot: BlenderBot — v1

In the previous blog post, we talked about Meena, a Google AI chatbot. In this post, I will review BlenderBot, the chatbot developed and open-sourced by Meta. I will go through the next versions of the BlenderBot in the next few posts. Let’s get started! Introduction BlenderBot is an open-domain and…

Naturallanguageprocessing

8 min read

Naturallanguageprocessing

8 min read

Published in AIGuys

·Jan 17

Meena — Towards a Human-like Open-Domain Chatbot

Note: This blog post is written with the help of ChatGPT! I decided to start a series of blog posts on chatbots and conversational agents, diving into the world of AI-powered language models and their capabilities. In my first post, I review Meena, the conversational agent introduced by Google AI. …

Deep Learning

6 min read

Meena — Towards a Human-like Open-Domain Chatbot

Deep Learning

6 min read

Published in AIGuys

·Jan 14

Chinchilla: Training Compute-Optimal Large Language Models

The article investigates the optimal model size and the number of tokens for training a transformer language model under a given computation budget. They found that current large language models are undertrained, and by training over 400 language models with varying parameters and the number of tokens, they found that…

Deep Learning

5 min read

Chinchilla: Training Compute-Optimal Large Language Models

Deep Learning

5 min read

Published in DevOps.dev

·Jan 14

MLOps project — part 4b: Machine Learning Model Monitoring

We reviewed Evidently.AI and Seldon ALIBI Detect for model monitoring in our previous blog post. I will go through managed services on Google Cloud and AWS to do the model monitoring task. I like to emphasize the importance of MLOps parts using the following photo from a paper published by…

Machine Learning

13 min read

Machine Learning

13 min read

Jan 11

Show Your Work — Summary

Note: You can find the book here. “Show Your Work!” is a book by Austin Kleon that aims to help readers learn how to share their creative process, works, and ideas with others. In the first chapter, Kleon argues that in today’s world, it is important for creatives to share…

Startup

8 min read

Startup

8 min read

Published in AIGuys

·Jan 8

Speech Recognition — Review State-of-the-art Papers — Part 1

In this series of blog posts, I will review state-of-the-art papers in the field of speech recognition. WAV2VEC: UNSUPERVISED PRE-TRAINING FOR SPEECH RECOGNITION The aim of this paper is to improve supervised speech recognition using unsupervised pre-training. It is therefore possible to exploit unlabeled audio data, which is much easier to collect than labeled data. Wav2vec…

Speech Recognition

7 min read

Speech Recognition

7 min read

Jan 7

Reinforcement Learning from Human Feedback, InstructGPT, and ChatGPT

Note: some parts of this blog post are generated by ChatGPT! :) Welcome to my blog post on ChatGPT! In this post, we will dive into the inner workings of ChatGPT and how it is trained. However, before we get into the specifics of ChatGPT, it’s important to first review…

Machine Learning

8 min read

Reinforcement Learning from Human Feedback, InstructGPT, and ChatGPT

Machine Learning

8 min read

Jan 5

Who Not How — Summary

If you want to go fast, go alone. If you want to go far, go together. “African Proverb” I recently read the book “Who not How” written by Dr. Benjamin Hardy and Dan Sullivan. Dr. Benjamin Hardy is an organizational psychologist and best-selling author of Willpower Doesn’t Work and Personality…

Leadership

5 min read

Leadership

5 min read

Published in DevOps.dev

·Jan 4

MLOps project — part 4a: Machine Learning Model Monitoring

Note: The majority of the information in this blog post comes from the documentation and the talks of the tools’ authors and creators. I simply put them together. The details of each company’s solutions depending on the information contained in their documentation and online discussions. After years of research and…

Machine Learning

12 min read

Machine Learning

12 min read