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- Enterprise AI trends in 2025
Enterprise AI trends in 2025
Plus: 13 free courses on AI agents, essential tools for agent builders, and more
Michael Cunningham
January 02, 2025
In partnership with
Welcome back to Building AI Agents, your biweekly guide to everything new in the AI agent field!
Happy New Year! May your 2025 be filled with happiness, prosperity, and falling LLM token costs
Everyone’s talking about AI agents these days, and as with a lot of tech trends, sometimes people get tired of its buzzwords.
In today’s issue…
A new agent framework by Hugging Face
13 free courses on agents
Essential tools for agent builders
Enterprise AI predictions for 2025
…and more
📰 NEWS
Source: Hugging Face
Hugging Face released smolagents, a framework for building agents which solve tasks by writing and executing their own Python code rather than making traditional function calls, increasing their power and reducing the necessary number of LLM invocations.
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🛠️ USEFUL STUFF
Source: Wikimedia Commons
A list of useful courses on AI agents spanning different builder skill levels, agent frameworks, and capabilities.
AgentOps’ Alex Reibman provides a roundup of critical tools for building, empowering, and deploying agents.
LangChain’s picks for the 5 best enterprise agents built using its LangGraph agent framework, including Replit Agent and projects by LinkedIn, Uber, and more.
A new site for finding useful agents and agent frameworks.
A proof-of-concept for a hedge fund in which every role, such as market analyst and portfolio manager, is performed entirely by AI agents.
💡 ANALYSIS
Source: CIO
Predictions for the most important trends shaping AI in the business world in the coming year, with many of them revolving around the rise of agents.
The first in a two-part series, this article discusses the move towards outcome-based pricing as AI agents begin to take over SaaS.
Agents feature prominently in predictions by 20 venture capitalists at major firms on the trajectory of enterprise technology in 2025.
With more and more agents being developed to handle users’ shopping, travel booking, and more, Perplexity CEO Anand Srinivas speculates on a future in which digital ads are targeted towards agents rather than humans.
While 2024 was the year of experimentation with AI agents, 2025 will be a year in which the logistics of deploying and monitoring these maturing projects becomes paramount, predict several industry analysts.
🧪 RESEARCH
Scheme for future agentic systems in Agents Are Not Enough | Source: arXiv
This paper discusses the failure of prior incarnations of AI agents in the pre-LLM era and argues that its lessons call for a new generation of systems split between 3 roles: Assistants, Agents, and Sims.
Aviary is a virtual gym for training and evaluating LLM-based agents on scientific tasks such as protein and DNA engineering and question-answering, providing users with tools for improving science agents.
Thanks for reading! Until next time, keep learning and building!
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