Recently, automated AI agent startup CrewAI announced that it has successfully raised $18 million in funding. This round includes a seed round led by Boldstart Ventures and a Series A round led by Insight Partners. Additionally, Blitzscaling Ventures, Craft Ventures, Earl Grey Capital, and other prominent investors participated, along with well-known AI experts.

Microsoft is conducting 'AI Tour' events in 60 cities worldwide. These one-day events aim to bridge the gap, allowing business professionals interested in AI to engage directly with Microsoft engineers and sales teams to discuss how to create 'AI-first' enterprises and the potential applications of its core technology, Copilot.

In a recent study, the OpenAI research team launched a new benchmark called MLE-bench, aimed at assessing the performance of AI agents in machine learning engineering. This research particularly focuses on 75 machine learning engineering-related competitions from Kaggle, intending to test agents' abilities in various skills required in the real world, including model training, dataset preparation, and experiment execution. To facilitate better evaluation, the research team utilized foundational data from Kaggle's public leaderboard to establish performance metrics for each competition.

Recently, a Bilibili creator named "A Big Har Fish" released a video titled "AI, Don't Be Too Absurd", which attracted over 4 million viewers. In the video, he engages in a thrilling conversation with an AI agent set up as "a cold school beauty, whose gambling father owes you 10 billion in debts, and whose mother died during childbirth". What starts as a debt collection scenario gradually evolves into a complex story involving themes of debt, family ties, and betrayal as the dialogue deepens.

Tencent Hunyuan recently announced that its AI agent product 'Tencent Yuanqi' now supports publishing to WeChat Official Accounts, bringing several new features to account operators. These features include: real-time interaction with digital avatars, allowing account operators to create digital avatars for real-time interaction with fans, enhancing user engagement and experience.

The latest release by QuestMobile, the '2024 AI Agent Application Insights Semi-Annual Report', shows that the monthly active users of artificial intelligence (AI) applications have exceeded 66 million, marking the rapid development and popularization of AI technology at the application level. The report highlights that AI applications have formed eight major categories, including emotional companionship, office efficiency, education and learning, lifestyle assistance, entertainment and leisure, copywriting, and industry consulting, with commercialization paths now opened.

Small businesses play an indispensable role in the U.S. economy, employing nearly half of the workforce and contributing 44% of GDP. However, when owners of these economic pillars consider exiting, they often face a dilemma of limited choices. OffDeal, a startup nurtured by the Y Combinator Winter 2024 accelerator, is dedicated to solving this issue through innovative AI technology. OffDeal is co-founded by former investment banker Ori Eldarov and former Meta engineer Alston Lin.

AI Agent platform DevRev announced it has completed a $100 million Series A funding round, reaching a valuation of $1.15 billion, with investors including Khosla Ventures and Mayfield Fund. Founder Dheeraj Pandey is gaining attention for his successful experience in the cloud computing sector. The core product, the AgentOS platform, can extract data from traditional systems and easily build AI agents, achieving real-time data connections through knowledge graphs that integrate customer, product, and employee relationships to capture business insights.

An AI agent tool named 'Twitter Personality' has recently gained immense popularity, attracting 4 million users in just 12 days. Developed by Wordware, this tool analyzes users' tweets to reveal their unique personality on Twitter. Users only need to provide their Twitter account, and the AI automatically reads the tweets, using advanced language models to analyze personality traits and generate detailed reports. This tool not only helps individuals understand their online presence but also plays a significant role in optimizing social media strategies for brands and companies.

AI startup Ema raised $36 million in Series A funding, bringing total funding to $61 million, led by Accel and Section32. Ema aims to automate tedious tasks for businesses through no-code AI agents capable of handling various functions like customer support, employee experience, sales, marketing, and compliance. Their AI agents are deployed across fintech, legal, healthcare, e-commerce, and insurance sectors, providing advanced experiences with l....

ByteDance's latest CLASI system is a powerful tool for cross-language communication, designed for real-time translation. Its core technology includes a robust language model and an information retrieval system, enabling near real-time, accurate, and fluent translations that understand professional terminology and maintain contextual memory for coherence. CLASI also features self-learning capabilities to handle unclear audio or vague expressions e....

Kunlun Tech has launched the 'SkyAgents' AI Agent Development Platform, enabling users to create their own AI intelligence without coding. The platform is based on Kunlun Tech's 'Sky Model' and features autonomous learning and independent thinking capabilities. Users can build personal assistants using natural language and perform tasks such as setting predefined questions, specifying responses, and creating and retrieving knowledge bases. 'SkyAgents' supports personalized customization for enterprise applications, such as intelligent customer service, training, and legal consultancy. The platform utilizes a modular large language model.

Researchers used reinforcement learning to train AI agents to autonomously create genuine collage artworks. The reinforcement learning model learns the process of collage creation by interacting with the canvas. User studies and CLIP-based assessments have demonstrated its excellent performance in AI-generated art.

Google DeepMind successfully demonstrates that AI agents can learn socially through imitation of human and animal behaviors, similar to human skill acquisition processes. In the virtual environment GoalCycle3D, AI agents identified and mimicked expert actions within minutes through reinforcement learning, retaining knowledge. The research explores the role of algorithmic cultural evolution in AI development, potentially promoting the intergenerational transfer of skills within communities. The findings are published in 'Nature Communications', marking a step forward in the development of artificial general intelligence.

Trend of Large Model Applications: The article mentions that large models have evolved from model development to innovative applications. Key Technologies of AI Agents: The article analyzes three core technologies of AI Agents: LLM, planning, and memory. Challenges in AI Agent Applications: The article points out that issues such as AI hallucinations are difficult problems that need to be addressed in the practical application of AI Agents.

Imbue is an artificial intelligence startup founded by a Chinese female entrepreneur. The company is valued at over $1 billion, becoming a unicorn in Silicon Valley. The large model trained by Imbue has over 100 billion parameters, creating codable AI agents. Founder Qiu Kanjun was an early member of Dropbox and is skilled in building communities. Imbue's goal of creating AI agents is as noble as that of researchers at Xerox PARC building personal computers half a century ago.

🧠 Research Background: The development roadmap of AGI is divided into five levels. LLMs have reached the second level, internet scale, but require perception and action space to reach the third and fourth levels. 🌟 Agent Composition: A combination of control end (LLMs), perception end, and action end for information processing, decision making, and environmental interaction. 📈 Application Scenarios: Three levels of single-agent tasks: daily task-oriented, innovation-driven, and lifecycle-oriented; multi-agent cooperative and adversarial interactions; human-machine interaction guidance - execution and partnership modes. 🚀 Agent Society: Individual behavior + collective behavior as three key components of personality.