NILG.AI
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– Personalized Artificial Intelligence Solutions
By creating personalized Artificial Intelligence solutions, we adapt the technology to your business, so you can seamlessly integrate data into your daily decisions.
We help small-to-large companies to make informed decisions promoting efficient opportunity handling.
Leveraging the power of evidence-driven decision-making using Artificial Intelligence, we will become your partner to
Using data to discover
what can be improved in your business, what bottlenecks currently exist, and defining a clear roadmap for tackling them using AI.
Our AI-driven agile methodology promotes an efficient validation process, looking to assess the expected impact of the opportunity while identifying and mitigating potential risks.
We develop and integrate the final solution in your business workflow, so you can start making evidence-driven decisions.
An overview of our methodology for ideation, validation, execution, and growth of AI projects.
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Execution of AI projects
We combine the knowledge from a team with experience in a wide range of industries
We have worked on dozens of projects with clients around the world. Our clients range from small startups to large corporations on a wide range of industries.
May 25, 2023 in Industry Overview
Large Language Models (LLMs) are THE hot topic of the year. If the name LLM sounds unfamiliar to you, I’m pretty sure you’ve heard of ChatGPT, OpenAI, and Bard. People who don’t know how to code have gained access to a tool that allows them to build Proof of Concepts for ideas they’ve been meaning […]
Apr 10, 2023 in Technical
The Problem What do you do when the model is underperforming? When the models’ performance does not meet our expectations, we usually spend time searching for the flaws, selecting and analyzing the cases where it failed to understand why it happened. Then, we try to apply more robust solutions, train, test, and repeat. In some […]
Mar 3, 2023 in Machine Learning
The problem So there you are. You have collected your data, analyzed it, processed it, and built your sophisticated model architecture. After many hours of training and evaluating, you have come to a very unpleasant conclusion: you need more data. Before you readjust your budget to fit the extra data acquisition and labeling, let me […]
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