Author Archives: Ben Lorica

Last year, the buzz in the AI community revolved around the concept of AI co-pilots – systems designed to work alongside humans, assisting them in tasks and decision-making processes. These co-pilots, such as GitHub Copilot for programming assistance and Grammarly for writing, focused on augmenting human capabilities while maintaining human control and responsibility. They wereContinue reading “Navigating the Complex World of AI Agents”

Google I/O 2024 unveiled an array of AI announcements that showcased the company’s advancements in generative video, lightweight multimodal AI, and custom AI chips. Veo, Gemini Flash, and Trillium TPUs represent progress in their respective domains, promising to enable new applications and drive innovation. However, amidst the excitement, several themes and trends cut across these products,Continue reading “AI at Google I/O 2024”

GPT-4o (“o” for “omni”) is OpenAI’s latest flagship multimodal deep learning model that can process and generate information across text, audio, and image modalities simultaneously. It represents an advancement in AI technology, enabling more natural and intuitive human-computer interaction by being able to “see”, “hear”, and “speak” like humans. GPT-4o accepts as input and generatesContinue reading “GPT-4o: Early Impressions and Insights”

In the same week that China’s DeepSeek-V2, a powerful open language model, was released, some US tech leaders continue to underestimate China’s progress in AI. Former Google CEO Eric Schmidt opined that the US is “way ahead of China” in AI, citing factors such as chip shortages, less Chinese training material, reduced funding, and aContinue reading “DeepSeek-V2 Unpacked”

In the fast moving landscape of Generative AI, the ability to forget—or unlearn—has garnered significant attention. While the essence of traditional machine learning lies in the accumulation of knowledge to optimize model performance, the concept of unlearning introduces a different approach: the selective removal or modification of specific information within a pre-trained model. This shiftContinue reading “The Art of Forgetting: Demystifying Unlearning in AI Models”

By Assaf Araki and Ben Lorica. The world of technology is no stranger to hype. From the dot-com bubble to the rise of cloud computing, we’ve witnessed cycles of intense excitement followed by disillusionment. Two prominent examples of transformative technologies in recent times are Big Data and Generative AI (GenAI). While Big Data promised toContinue reading “Avoiding the Pitfalls and Embracing the Opportunities of GenAI Adoption”

Driving Performance, Efficiency, and Developer-Friendly Features As someone who frequently leverages large language models (LLMs) to build solutions, I find the recent advancements in the field both exciting and promising. The release of Databricks DBRX, Meta Llama 3, and Snowflake Arctic highlights the priorities of LLM creators in delivering powerful, efficient, and developer-friendly solutions. TheContinue reading “Architectural Enhancements in Recent Open LLMs”

Geopolitics, Data Privacy, and the Future of Social Media As President Biden signed a foreign aid package that includes a bill requiring TikTok’s China-based parent company ByteDance to divest the app within a year or face a ban, I find myself grappling with the complex implications of this decision. While I understand the national securityContinue reading “TikTok’s Ticking Clock”