Best practices for building LLM-based applications
During the talk, we will review the existing tools and see how to move from development to production without a headache.
During the talk, we will review the existing tools and see how to move from development to production without a headache.
Many businesses started incorporating Large Language Models into their applications. There are, however, several challenges that may impact such systems. It’s great to be aware of them before you start. During the talk, we will review the existing tools and see how to move from development to production without a headache.
Kacper Łukawski is a Developer Advocate at Qdrant - an open-source neural search engine. His experience is mainly related to data engineering, machine learning, and software design. Recently he’s been exploring the world of similarity learning and vector search.
Reddit is positioning AI-powered search as its next major growth opportunity. The company saw its Reddit Answers feature surging from 1 million to 15 million weekly users in 2025. Although Reddit's AI search is not yet monetized, the company called it "an enormous market and opportunity".
ElevenLabs raised $500 million at an $11 billion valuation, tripling its valuation from a year ago. The startup also reported $330 million in ARR from enterprise voice AI adoption, and ambitious plans to expand its presence in global markets as it builds momentum towards an eventual IPO.
Anthropic released Claude Opus 4.6 with "agent teams" that enable multiple agents to work in parallel on complex tasks, a 1 million token context window, and direct PowerPoint integration, expanding the model's appeal beyond software developers to knowledge workers across industries.
China's Moonshot AI released Kimi K2.5, an open source multimodal model with agent swarm technology that enables up to 100 sub-agents to work in parallel, alongside Kimi Code, a coding tool that rivals Anthropic's Claude Code.
Arcee AI, a 30-person US startup, released Trinity Large, a 400B-parameter open source model that rivals Meta's Llama 4 Maverick, addressing concerns about China's dominance in open-weight models and uncertainty around US companies' commitment to open source AI.
SF Bay Area media and education platform focused on AI and Data. As a voice of AI industry, Data Phoenix delivers news, practical knowledge, and helps companies be heard in the community.
Copyright © 2026 Data Phoenix. Published with Ghost and Data Phoenix.
Comments