The Generative AI Landscape, v2
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— AI Breakfast (@AiBreakfast)

A new wave of chat bots like ChatGPT use artificial intelligence that could reinvent or even replace the traditional internet search engine.

The wave of enthusiasm around generative networks feels like another Imagenet moment - a step change in what ‘AI’ can do that could generalise far beyond the cool demos. What can it create, and where are the humans in the loop?

Everything I understand about chatgpt · GitHub

Alphabet's DeepMind has built an AI tool that can help generate rough film and stage scripts Engadget's Kris Holt reports: Dramatron is a so-called "co-writing" tool that can generate character descriptions, plot points, location descriptions and dialogue. The idea is that human…

A conversational AI system that listens, learns, and challenges

The OpenAI ChatGPT chatbot was just released and is already quite popular. Say hello to the newest chatbot with one

The first obvious casualty of large language models is homework: the real training for everyone, though, and the best way to leverage AI, will be in verifying and editing information.
We chat, we buy, we sell.

We used GPT-3 and DALL·E to generate a children's storybook about Ash and Pikachu vs. Team Rocket. Read the story and marvel at the AI-generated visuals!

I figured out how to run a SQL query directly against a CSV file using the sqlite3 command-line utility:

They can help you get an appointment or order a pizza, find the best ticket deals and bring your...
The communications platform that puts data protection first. - RocketChat/Rocket.Chat
Are there any limits to large neural networks?

It comes as Midjourney faces increasing competition from the likes of Elon Musk's xAI and it Grok 2 and Ideogram 2.
BAAI conference presented Wu Dao 2.0. The most powerful AI to date.

How this novel neural network architecture changes the way we analyze complex data types, and powers revolutionary models like GPT-3 and BERT.

The way we search online hasn’t changed in decades. A new idea from Google researchers could make it more like talking to a human expert
A simple quick solution for deploying an NLP project and challenges you may faced during the process.
Text-generation is the next big thing in AI.

Free books, lectures, blogs, papers, and more for a causal inference crash course

The NLP application ecosystem is in its earliest stages, and it's not yet clear whether GPT-3 or a different model will be the foundation.
From predicting single sentence to fine-tuning using custom dataset to finding the best hyperparameter configuration.

Determining the optimal architectural parameters reduces network size by 84% while improving performance on natural-language-understanding tasks.

A review of 20+ deep learning NLP models and how to use them well

AI researchers from the Ludwig Maximilian University (LMU) of Munich have developed a bite-sized text generator capable of besting OpenAI’s state of the art GPT-3 using only a tiny fraction of its parameters. GPT-3 is a monster of an AI sys

What does Microsoft getting an "exclusive license" to GPT-3 mean for the future of AI democratization?

Google published an article “Understanding searches better than ever before” and positioned BERT as one of the most important updates to…
TensorFlow code and pre-trained models for BERT.
Discussions: Hacker News (98 points, 19 comments), Reddit r/MachineLearning (164 points, 20 comments) Translations: Chinese (Simplified), French 1, French 2, Japanese, Korean, Persian, Russian, Spanish 2021 Update: I created this brief and highly accessible video intro to BERT…
Visualizing machine learning one concept at a time.
Pre-training SmallBERTa - A tiny model to train on a tiny dataset An end to end colab notebook that allows you to train your own LM (using HuggingFace…
In this tutorial we learn to quickly train Huggingface BERT using PyTorch Lightning for transfer learning on any NLP task

Knowledge distillation is a model compression technique whereby a small network (student) is taught by a larger trained neural network (teacher). The smaller network is trained to behave like the large neural network. This enables the deployment of such models… Continue reading…
Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With … - Selection from Generative Deep Learning [Book]

Unless you have been out of touch with the Deep Learning world, chances are that you have heard about BERT — it has been the talk of the town for the last one year. At the end of 2018 researchers …

From BERT’s tangled web of attention, some intuitive patterns emerge.
I’m going to describe a way to put together a world-class continuous deployment infrastructure for your side-project without spending any money. With continuous deployment every code commit is tested against …

Since writing this post back in 2018, I have extended this to a 4-part series on causal inference: * ➡️️ Part 1: Intro to causal inference and do-calculus [https://www.inference.vc/untitled] * Part 2: Illustrating Interventions with a Toy Example…

Large Language Models (LLMs) have gained significant prominence in modern machine learning, largely due to the attention mechanism. This mechanism employs a sequence-to-sequence mapping to construct context-aware token representations. Traditionally, attention relies on the…

Retrieval-Augmented Generation (RAG) is a machine learning framework that combines the advantages of both retrieval-based and generation-based models. The RAG framework is highly regarded for its ability to handle large amounts of information and produce coherent, contextually…

The challenge of managing and recalling facts from complex, evolving conversations is a key problem for many AI-driven applications. As information grows and changes over time, maintaining accurate context becomes increasingly difficult. Current systems often struggle to handle…

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This post unveils a well-kept secret unknown to many: using externally hosted Large Language Models (LLMs) in Google Sheets to perform NLP tasks on text
By default, the script uses the "facebook/bart-large-mnli", a BART model trained for multi-class text classification
paste the token in your script, replacing the ‘ <YOUR HUGGINGFACE API KEY> ‘ part with your token, save the script, and go back to Google Sheets to start playing!

Unpack the key features and marketing insights of SearchGPT, OpenAI’s innovative search tool and its potential to rival Google’s dominance.
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essen...
A comparison between a report written by a human and one composed by AI reveals the weaknesses of the latter when it comes to journalism.
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