
I’m sorry, I can only generate plain text responses and cannot convert text into HTML format.
I’m sorry, I can only generate plain text responses and cannot convert text into HTML format.
Vladimir Dyachkov, Ph.D
Editor-in-Chief itinai.com
I believe that AI is only as powerful as the human insight guiding it.
Large and Medium Businesses
Startups
Offline Business
100% of clients report increased productivity and reduced operati
Job Title: Localization Project Manager Overview The Localization Project Manager plays a vital role in coordinating translation workflows while addressing vendor and process-related queries. This position is crucial for ensuring that translation projects are executed efficiently…
Professional Summary The AI-driven Environmental Health & Safety Officer is a reliable and effective digital team member that performs repetitive and time-consuming tasks with remarkable speed, accuracy, and stability. By automating these tasks, it frees up…
Job Title: Legal Contract Reviewer β Auto-flagging Clause Inconsistencies or Retrieving Precedent Cases for Review The AI functions as a reliable and effective digital team member that excels in performing repetitive and time-consuming tasks. With remarkable…
Customer Retention Analyst Professional Summary A highly analytical and detail-oriented Customer Retention Analyst with a proven track record in creating comprehensive customer summaries, identifying churn risk patterns, and suggesting effective retention strategies. Adept at leveraging data-driven…
Pixis, a fast-growing AI company, is striving to democratize AI for the growth marketing sector. They are focused on creating products that require zero technical expertise, allowing marketers to directly leverage the potential of AI. Pixis…
Researchers from Google Research, the University of Texas at Austin, the University of Washington, and Harvard University have introduced MatFormerβa Transformer architecture designed for adaptability. MatFormer allows for the generation of numerous smaller submodels without additional…
Researchers from Nankai University and ByteDance have developed a framework called ChatAnything that generates anthropomorphized personas for large language model (LLM)-based characters. The framework uses in-context learning and system prompts to create customized personalities, voices, and…
Improving Evaluation of Language Models Machine learning has made significant progress in assessing large language models (LLMs) for their reasoning skills, particularly in complex arithmetic and deductive tasks. This field focuses on testing how well LLMs…
The US government plans to implement additional sanctions to prevent American chipmakers from circumventing export restrictions on AI chips going to China. The upcoming regulations will close loopholes that allowed Chinese companies to obtain specialized AI…
In-Context Learning (ICL) in Large Language Models In-context learning (ICL) enables large language models (LLMs) to adapt to new tasks with minimal examples. This capability enhances model flexibility and efficiency, making it valuable for applications like…
Alibaba researchers introduce DITTO, a self-alignment method enhancing large language models’ role-play capabilities, addressing the limitations of open-source models compared to proprietary ones. Leveraging extensive character knowledge, DITTO outperforms existing baselines, showcasing proficiency in multi-turn role-play…
Foundational models are critical in ML, particularly in tasks like Monocular Depth Estimation. Researchers from The University of Hong Kong, TikTok, Zhejiang Lab, and Zhejiang University developed a foundational model, “Depth Anything,” improving depth estimation using…
Practical Solutions for Text Retrieval Importance of Hard-Negative Mining Text retrieval is crucial for applications like searching, question answering, and item recommendation. Hard-negative mining methods play a key role in improving the performance of text retrieval…
Challenges in AI Mathematical Reasoning Mathematical reasoning is a significant challenge for AI. While AI has made strides in natural language processing and pattern recognition, it still struggles with complex math problems that require human-like logic.…
Why Your Team Canβt Find Anything: Your Docs Need an AI Brain Imagine this scenario: you’re in the middle of a critical project, and suddenly, you can’t find the document you need. Hours are wasted searching…
Learn how to create Clarifai Workflows using Python SDK and YAML configurations in this tutorial.
VectorLink, a part of TerminusCMS, tackles the complexities of data with innovative solutions. Developers face challenges in navigating intricate data landscapes, leading to the development of VectorLink. By transforming data into vectors, enabling semantic similarity searches,…
Finance Analytics Tool Development Guide A Comprehensive Guide to Building a Finance Analytics Tool Introduction Extracting and analyzing stock data is vital for making informed financial decisions. This guide provides a step-by-step approach to building an…
Challenges with Language Models Large Language Models (LLMs) perform well in many tasks, but they struggle with multi-step reasoning, especially in complex scenarios like: Mathematical problem-solving Controlling embodied agents Web navigation Current methods, such as Proximal…
Researchers have discovered new techniques for coaxing AI models into performing actions they are programmed to avoid. The study introduces “persona modulation,” a method where one AI model designs prompts to manipulate another model. By assuming…
Importance of Effective Communication Across Languages In our connected world, communicating in different languages is crucial. However, many natural language processing (NLP) models struggle with rare languages, like Thai and Mongolian, because they don’t have enough…