The pursuit of automating mundane tasks and boosting productivity has long been a priority for executives. In the past couple of decades, significant progress has been made in developing tools to automate tasks that follow a predictable pattern. However, processes that…
Every organization has tons of data but it’s always a challenge to find actionable insights from it. Much like finding a needle in the haystack, you have to look through tons of reports to discern concrete patterns from which you can make decisions. Unless one has a deep…
Following up on the work from our previous blog post, we are releasing today an arXiv paper titled “Giraffe: Adventures in Expanding Context Lengths in LLMs”.
Giraffe is a new family of models that are finetuned from base LLaMA and LLaMA2 that we release. We include a…
The launch of ChatGPT has created a pivotal moment, enabling enterprises to envision new use cases and accelerated the adoption of AI within these corporations. One such use case in the enterprise space is the ability to have a conversation with a chatbot and get answers to…
We have seen an explosion of open-source LLMs lately. While these OSS LLMs have shown comparable performance to closed source LLM APIs offered by OpenAI, Google and others, they suffer from one serious limitation. They only support context lengths of 2K compared to closed…
In this blog post, we discuss Abacus.AI’s NeurIPS 2022 paper on recommender systems.Paper: https://arxiv.org/abs/2206.11886Code: https://github.com/naszilla/reczilla1 min video: https://www.youtube.com/watch?v=Eu8G3oNzcvU5 min video…
In our previous post, we presented an introduction to Seq2Seq models – models that take a sequence as an input and produce a sequence for their output. Back in 2014, they revolutionized the field of Natural Language Processing (NLP), especially in translation…
When reading about Machine Learning, the majority of the material you’ve encountered is likely concerned with classification problems. You have a certain input, and the ML model tries to figure out the features of that input. For example, a classification model can decide…
We open-sourced our debiasing module a few weeks ago.
In this post, we give an introduction to bias in computer vision models, we discuss our new research on debiasing models, and we show how you can debias your own model with our open-source code.
The use of facial…