While 55% of organizations are experimenting with generative AI, only 10% have implemented it in production, according to a recent Gartner poll. LLMs face a major obstacle in transitioning to production due to their tendency to generate erroneous outputs, termed hallucinations. These inaccuracies hinder their utilization in applications requiring correct results. Instances like Air Canada’s… →
Chances are you’ve already heard about RAG – Retrieval-Augmented Generation. This technology has taken the industry by storm, and for good reason. The emergence of RAG systems is a natural consequence of the popularity of Large Language Models. They make it easier than ever before to create a chatbot – one deeply entrenched in the… →
More than a year has passed since the release of ChatGPT, which led hundreds of millions of people to not only talk about AI, but actively use it on a daily basis. The wide adoption of ChatGPT and other large language models (LLMs) among individuals made companies of all sizes and across all sectors of… →
Harnessing the power of deep learning for image segmentation is revolutionizing numerous industries, but often encounters a significant obstacle – the limited availability of training data. Collecting a large, diverse, and accurately annotated dataset consisting of pairs of images and corresponding segmentation masks can be time-consuming, expensive, and challenging due to privacy concerns. Fortunately, in… →
In the world of AI, change is the only constant. The field is evolving at an unprecedented pace, making it extremely challenging for companies and decision-makers to stay ahead of the curve and to keep up with the technical advancements being released day after day. That’s why the ability to adapt and predict future trends… →
It’s time to wrap up our work on data generation using diffusion models. Previously we laid the foundation for this by introducing the concept and providing a quick overview of promising methods. Then, in the second part, we focused on obtaining images along with semantic segmentation maps. In this blog post, we would like to… →
With the development of language models showing no signs of letting up, Meta AI has decided to make their contribution to the AI world with the introduction of the second iteration of their groundbreaking open-source language model Llama 2. It definitely marks a significant step in the field of natural language processing (and artificial intelligence… →
We are delighted to announce that deepsense.ai has been recognized as one of the top 50 AI Providers in Central and Eastern Europe (CEE) according to the prestigious “TOP AI Driven Companies” report. Prepared meticulously by MCI Capital, Bain & Company, and Art Of Networking, the report highlights organizations, from start-ups to well-established enterprises, that… →
GenAI, understood as a class of models capable of generating human-like, high dimensional outputs like text, image or sound, is experiencing great success and explosive growth [1, 2, 3]. However, this has also quietly given rise to a critical problem that permeates applied GenAI in its entirety – what we call Evaluation Derangement Syndrome (EDS).… →
In this blog post we walk you through our journey creating an LLM-based code writing agent from scratch – fine tuned-for your needs and processes – and we share our experience of how to improve it iteratively. Introduction This article is the second part in our series on Coding Agents. The first part provides an… →