The latest in acquisitions, mergers, and exits.
Companies, from local storefronts to global enterprises, are acquiring large language models. Why? these models offer a unique competitive edge through implementation.
The performance of an AI company, encompassing both its technological prowess and market impact, is a crucial consideration for potential acquirers
AMD’s aggressive acquisition strategy shows its commitment to becoming a formidable player in AI.
The acquisition of MagicBrief represents Canva’s bold move to deepen its push into ad analytics and marketing performance.
The Block Article Growth Acquisition Partnership Services is a comprehensive suite of services designed to help partners maximize their growth and reach. By providing strategic planning
You can determine if an online acquisition deal is a hot opportunity or just a passing trend?
By understanding the differences between these two acquisition types, you can make informed decisions that maximize your chances of success with your acquisition
While early-stage startups hold promise, the strategic advantages of established fintech companies cannot be overlooked.
A strategic approach to career advancement where job seekers or anyone can invest in themselves, and their skills, to become irresistible to potential clients.
An LLM research paper, titled “Artificial or Just Artful? explores the tension between pretraining objectives and alignment constraints in Large Language Models (LLMs). The researchers specifically investigated how models adapt their strategies when exposed to test cases from the BigCodeBench (Hard) dataset.
RAGRecon, a system to improve Cyber Threat Intelligence through the integration of Large Language Models and Retrieval-Augmented Generation.
DRAFT-RL is a evaluation framework fort LLMs designed to address critical limitations in LLM-based reasoning systems by integrating Chain-of-Draft (CoD) reasoning with multi-agent reinforcement learning.
The Language Model Council research suggests that the top spot on any given leaderboard might be an artifact of evaluation design rather than a reflection of superior, generalized capability.
Humanity’s Last Exam is a multi-modal case study designed to measure the capabilities of large language models.
A new research paper from Humains-Junior language model reportedly matches the factual accuracy of GPT-4o on a specific public subset. According to the paper the Humains-Junior language model achieves this performance through an innovative method called “Exoskeleton Reasoning.”
