Blog Archives

24 Apr 2024

To buy or not to buy, that is the question: Predicting what shoppers will buy in grocery retail

Join us for an online webinar as part of our DSF MayDay festival this May! Predicting how much a product is going to sell each week is a key task for any grocery retailer. That is the job of a demand model. A good demand model can be used to forecast future sales, diagnose issues […]

24 Apr 2024

From prompt to observability: MLOps & LLMOps

In this presentation, we explore the integration of MLOps and traditional AI observability with an emphasis on corporate-level AI observability through AI stores. We will discuss the objectives, challenges and risks associated with implementing AI stores, providing examples from real-world applications. The session also addresses the unique demands of generative and cognitive AI technologies and […]

24 Apr 2024

From algorithms to real AI impact: Building intelligent systems with MoE, multimodality and crowd of agents

While we are slowly getting accustomed to the wonders of transformers and large language models, the path to AGI won’t be through a single algorithm or even model. Indeed, building useful and accurate systems will require a mix of models, modalities, agents and prompt engineering techniques that can check and complement each other. We will […]

22 Apr 2024

Simple and constrained LLM agents

In this talk, I will share my experience of building an LLM-based agent for a UK fintech company and deploying it in a complex production ecosystem. While agents powered by Large Language Models (LLMs) are often hyped for their potential to ‘think’ and solve complex tasks, they can often result in unpredictable interaction loops that […]

22 Apr 2024

Navigating the AI Revolution: A Blueprint for Business Success

This talk will guide you through the essential steps to develop and implement a robust AI strategy for your business. You will  understand AI capabilities and identify opportunities within business where AI can create significant value.  Moreover, we’ll explore best practices for integrating AI solutions, including selecting the right tools and technologies, and establishing a […]

22 Apr 2024

Data Curation for Open Source LLM Fine-Tuning

Everyone wants to fine-tune open source LLMs, but a lack of high quality data makes this hard. Even the data that companies do have is difficult to understand, making it challenging to iterate towards a high quality dataset that will provide good results from fine-tuning. Clemens will share his experience curating datasets to fine-tune models […]

22 Apr 2024

Accelerating Machine Learning Serving with Distributed Caches

In the rapidly evolving landscape of machine learning (ML) serving, optimising performance is paramount. This presentation delves into the innovative strategy of leveraging distributed caches to accelerate ML serving. By strategically caching frequently accessed model predictions and intermediate computations, organisations can significantly reduce latency and improve throughput in ML inference pipelines. Through practical insights, attendees […]

19 Apr 2024

Networks and Recommendation Systems

We will look into the details of the implementation of recommendation systems using graphs. We will also investigate how this implementation can make the result more transparent and help clarify many other aspects of the data. The flow of the session will follow the progression and lessons learned during the real development of the project. […]

17 Apr 2024

Explaining explainability: an interdisciplinary approach to communicate machine learning outcomes

Explainable AI (XAI) is one of the hottest topics of interest among AI researchers and practitioners. These explanations however often focus solely around providing technical interpretations on how a given machine learning model generates a certain outcome. To take a step beyond these technical explanations, we, Allianz Personal data science team together with our collaborators […]