Welcome to the Abacus.AI blog

Today we release a new model in our continued commitment to improving the state-of-the-art in open source LLMs: MetaMath-Bagel-DPO-34B. This time, we’ve refined our focus on enhancing mathematical and reasoning capabilities in LLMs by primarily...

Here at Abacus.AI, we are strong believers in the potential of open source LLMs. The gap in performance with the major commercial closed-sourced models has steadily been decreasing over the last 6 months, thanks to...

The Abacus.AI team has published five papers to appear at the Conference on Neural Information Processing Systems (NeurIPS) 2023. Three papers are in the main conference (including one awarded with an Oral Presentation) and two...

Organizations want to infuse LLMs into every part of their planning and decision making process. This translates to thousands, if not millions of API calls a day. While GPT-4 is great, it’s also prohibitively expensive,...

How does Amazon manage to flawlessly deliver millions of products across the globe every day? Or a restaurant chain accurately predict demand, plan inventory and distribute staff coverage across its footprint? The secret sauce is...

Today we release a larger 70B version of Giraffe, succeeding the 13B model we mentioned in a previous blog post. Giraffe is a family of models that are finetuned from base Llama 2 and use...

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...

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...

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...