Memory and new controls for ChatGPT

Foundational models are large deep-learning neural networks that are used as a starting point to develop effective ML models. They rely on large-scale training data and exhibit exceptional zero/few-shot performance in numerous tasks, making them invaluable in the field of natural language processing and computer vision. Foundational models are also used in Monocular Depth Estimation…

Artificial intelligence has seen remarkable advancements with the development of large language models (LLMs). Thanks to techniques like reinforcement learning from human feedback (RLHF), they have significantly improved performing various tasks. However, the challenge lies in synthesizing novel content solely based on human feedback. One of the core challenges in advancing LLMs is optimizing their…

In an era where language models (LMs) predominantly cater to English, a revolutionary stride has been made with the introduction of CroissantLLM. This model bridges the linguistic divide by offering robust bilingual capabilities in both English and French. This development marks a significant departure from conventional models, often biased towards English, limiting their applicability in…

In the News Google reportedly worked directly with Israel’s military on AI tools Google worked with the Israeli military in the immediate aftermath of its ground invasion of the Gaza Strip, racing to beat out Amazon to provide AI services, according to company documents obtained by the Washington Post. theverge.com Sponsor Discover what the most…

Machine learning’s shift towards personalization has been transformative, particularly in recommender systems, healthcare, and financial services. This approach tailors decision-making processes to align with individuals’ unique characteristics, enhancing user experience and effectiveness. For instance, in recommender systems, algorithms can suggest products or services based on individual purchase histories and browsing behaviors. However, applying this strategy…

A research team from Zhipu AI introduced a new model at their recent event in Beijing, GLM-4 addressed the challenge in the field of Large Language Models (LLMs). It focuses on the need for improved context lengths, multimodal capabilities, and faster inference speeds. The existing models face issues in handling extensive text lengths while maintaining…