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Data Science Salon
Data Science Salon
On-demand
  • Top-10 Misconceptions About LLM Judges in Production
    Wednesday, December 4, 2024 · 2:00 PM EST
    Implementing LLM “judges” in production settings can be a game-changer for evaluating AI behaviors, but it’s often more challenging than it appears. Many teams struggle with common pitfalls such as; high error rates and cost unpredictability to is...
  • Building Patient Journeys from Multi-Modal Healthcare Data Using Medical Language Models
    Thursday, October 31, 2024 · 2:00 PM EDT
    Data integration has been an enormous challenge in healthcare for decades. Issues of data standardization, data quality, legacy formats, unstructured data, and semantic inconsistencies have made it hard to answer basic questions about how a hospit...
  • Fireside Chat - Efficiency Unlocked: The Power of Synthetic Data in Modern Enterprises
    Wednesday, October 2, 2024 · 2:00 PM EDT
    Synthetic data has emerged as a powerful tool for organizations looking to enhance their operational efficiency and reduce costs. By generating artificial data that mimics real-world data, companies can overcome limitations related to data scarcit...
  • Optimizing ML/AI Workflows with Essential Airflow Features
    Tuesday, June 25, 2024 · 2:00 PM EDT
    With recent advancements in generative AI, teams are being tasked to quickly implement ML/AI initiatives. Luckily, Airflow is here to help by enabling you to create dynamic, scalable, and robust ML/AI pipelines.

    Join Kenten Danas, Manager, Devel...
  • Operationalizing Large Language Models
    Wednesday, January 31, 2024 · 2:00 PM EST
    In this webinar, we’ll be exploring the intricate process of effectively managing and scaling multiple LLM applications. Our focus will extend beyond the basic use of notebook-based methods, diving into more robust and advanced strategies. From th...
  • Building a RAG LLM Clinical Chatbot with John Snow Labs in Databricks
    Tuesday, December 12, 2023 · 2:00 PM EST
    In the era of rapidly evolving Large Language Models (LLMs) and chatbot systems, we highlight the advantages of using LLM systems based on RAG (Retrieval Augmented Generation). These systems excel when accurate answers are preferred over creative ...
  • Unifying Minds: Unleashing the Synergy Between Knowledge Graphs and Large Language Models
    Tuesday, August 29, 2023 · 2:00 PM EDT
    This presentation delves into the seamless integration of Knowledge Graphs (KGs) and Large Language Models (LLMs) to unlock their collective potential in revolutionizing natural language understanding.

    By synergizing the structured knowledge of ...
  • [Webinar] Lessons from the Trenches: Implementing and Optimizing LLMs
    Wednesday, August 16, 2023 · 2:00 PM EDT
    In today's era of technological innovation, Large Language Models (LLMs) stand at the forefront of artificial intelligence applications. This Webinar presents a unique opportunity to explore the real-world experiences and expert insights on the de...
  • Debugging LLMs: Best Practices for Better Prompts and Data Quality
    Thursday, June 22, 2023 · 2:00 PM EDT
    Large language models (LLMs), have raised concerns about incorrectly generated outputs and the potential impact on spreading disinformation and yielding poor outcomes in critical domains like healthcare and financial services.

    In this panel conve...
  • The Rising Demand for Vector Databases in the Age of ChatGPT
    Tuesday, May 16, 2023 · 2:00 PM EDT
    ChatGPT, the artificial intelligence chatbot from OpenAI, has taken the world by storm and has transformed the way we perform everyday tasks. With its advanced language processing capabilities, it has become a go-to solution for people looking for...
  • Unifying Data and Models for Cross-domain Personalized Fashion Recommendations
    Tuesday, January 31, 2023 · 2:00 PM EST
    Across industries, people have come to expect highly personalized and dynamic experiences - but for those providing them, managing extensive sets of data across various channels to ensure personalized touchpoints can be an incredibly complex task....
  • Designing Custom ML Pipelines with AWS SageMaker
    Wednesday, November 23, 2022 · 2:00 PM EST
    Using Amazon SageMaker to train, test and deploy models is an efficient way of handling the machine learning lifecycle. Being an iterative process, using SageMaker allows data scientists to manage the entire machine learning pipeline with autoscal...
The DATA SCIENCE SALON is a unique vertical-focused data science conference that grew into a diverse community of senior data science, machine learning, and other technical specialists. We gather face-to-face and virtually to educate each other, illuminate best practices and innovate new solutions in a casual atmosphere.
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