Generative NLP Models in Customer Service: Evaluating Them, Challenges, and Lessons Learned in Banking
Editor’s note: The authors are speakers for ODSC Europe this June. Be sure to check out their talk, “Generative NLP models in customer service. How to evaluate them? Challenges and lessons learned in a real use case in banking,” there! With the increasing use of digital... Read more
Origins of Generative AI and Natural Language Processing with ChatGPT
By now you’ve likely heard of ChatGPT, and the varying opinions surrounding it—people love it, people hate it, and people are afraid of it. It can generate a recipe for chocolate chip cookies, write a Broadway-style song about your kids, and create usable code. Joining in... Read more
Databases for the Era of Artificial Intelligence
Article originally posted here by Misha Obolonskyi. Reposted with permission. ChatGPT can carry on plausible conversations, write poetry in the style of Dylan Thomas or Shakespeare, and might do as good a job writing this blog post as I will! But without vector search, generative AI... Read more
Training 175B Parameter Language Models at 1000 GPU Scale with Alpa and Ray
This blog post presents how two open-source frameworks, Alpa and Ray, closely integrate to achieve the scale to train a 175B parameters OPT-175B model (equivalent to GPT-3) with pipeline parallelism up to 1024 A100 GPUs in collaboration with Nvidia. With this integration, our benchmarks show three scaling results: 1. Alpa... Read more
How Large Language Models are Transforming Bot Building and Making Them More Useful for Everyone 
The latest wave of innovation around large language models (LLMs), such as ChatGPT and GPT-4, is rapidly transforming the world of bot building. Natural language processing (NLP) and machine learning have long formed the foundation for building intelligent bots, but the capabilities of these LLMs are... Read more
Deep Learning Approaches to Sentiment Analysis (with spaCy!)
Editor’s note: Benjamin Batorsky, PhD is a speaker for ODSC East 2023. Be sure to check out his talk, “Bagging to BERT – A Tour of Applied NLP,” there! It’s always good to start a blog post with a joke (even if it’s not a very... Read more
Supercharge Your LangChain Workflow with Jina AI’s Inference: Seamless Integration for Powerful Applications
Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) and opened up a myriad of possibilities for various applications. With the recent rise in popularity of the LangChain framework, developers are now able to create powerful end-to-end user-facing applications by chaining different steps... Read more
Creating a Custom Vocabulary for NLP tasks Using exBERT and spaCY
Editor’s note: Swagata Ashwani is a speaker for ODSC East 2023. Be sure to check out her talk, “Creating a Custom Vocabulary for NLP tasks using exBERT and spaCY,” there! Natural Language Processing (NLP) tasks involve analyzing, understanding, and generating human language. However, the first step... Read more
SQuARE: Towards Multi-Domain and Few-Shot Collaborating Question Answering Agents
Editor’s note: Iryna Gurevych, PhD and Haritz Puerto are speakers for ODSC East 2023. Be sure to check out their talk, “SQuARE: Towards Multi-Domain and Few-Shot Collaborating Question Answering Agents,” there! Are you fascinated by the power of Question Answering (QA) models but find yourself intimidated... Read more
How Text Analytics and AI Can Help Investigators Combat Human Trafficking
Narrative data from police agencies on arrest or offense incidents, as well as tips to police departments, is both rich in information and also largely unavailable to the public for analysis. That said, recently came across ~45,000 unique narratives describing police incidents occurring in the city... Read more