What is FINDAP? The FINDAP Framework is a cutting-edge approach to fine-tune large language models (LLMs) specifically for the finance industry. While LLMs like ChatGPT or Bard are excellent general-purpose tools, specialized domains…
Imagine an AI assistant that forgets your project requirements between Monday and Wednesday, or one that takes 30 seconds to recall a simple preference you mentioned yesterday. This is the reality of AI…
Large language model (LLM)-based software engineering (SWE-) agents have recently demonstrated remarkable progress on realistic software engineering tasks such as code review, bug fixing, and repository-level reasoning. Most SWE-agents start from a fresh…
Main Takeaways Background LLM agents are seeing more and more applications in real life, from being personal assistants to helping software engineers write code and even working side by side with scientists on…
The landscape of AI agent development has evolved rapidly, with developers needing robust frameworks to build, test, and benchmark intelligent systems. MCP-Universe emerges as a comprehensive solution, providing a modular framework designed around…
Time series forecasting plays a central role in data-driven decision making. Yet, adapting forecasting models across different domains and temporal resolutions often requires custom engineering. This increases both development and maintenance costs —…
The Challenge with Flows Today Salesforce flows sit at the heart of modern CRM automation, yet authoring them still requires a unique mix of declarative drag‑and‑drop and Apex know‑how. To ease this process,…
Architecture, Training and Dataset Github Code: https://github.com/JiuhaiChen/BLIP3o Models: https://huggingface.co/BLIP3o/BLIP3o-Model Demo: https://huggingface.co/spaces/BLIP3o/blip-3o Motivation OpenAI’s GPT-4o has demonstrated state-of-the-art performance in image understanding, generation and editing tasks. Emerging hypotheses of its architecture suggest a hybrid…
xGen-small is an enterprise-ready compact LM that combines domain-focused data-curation, scalable pre-training, length-extension, instruction fine-tuning, and reinforcement-learning to deliver Enterprise AI with long-context performance at predictable, low cost.
In the rapidly evolving landscape of artificial intelligence (AI), we're witnessing jagged intelligence in the enterprise. Here's a closer look.
