In this tutorial, we will learn how to harness the power of Dappier AI, a suite of real-time search and recommendation tools, to enhance our conversational applications. By combining Dappier’s cutting-edge RealTimeSearchTool with its AIRecommendationTool, we can query the latest…
Since its founding 19 years ago as a pioneering collaboration with Portuguese universities, research institutions and corporations, the MIT-Portugal Program (MPP) has achieved a slew of successes — from enabling 47 entrepreneurial spinoffs and funding over 220 joint projects between…
Multimodal foundation models have shown substantial promise in enabling systems that can reason across text, images, audio, and video. However, the practical deployment of such models is frequently hindered by hardware constraints. High memory consumption, large parameter counts, and reliance…
Sparse attention is emerging as a compelling approach to improve the ability of Transformer-based LLMs to handle long sequences. This is particularly important because the standard self-attention mechanism, central to LLMs, scales poorly with sequence length—its computational cost grows quadratically…
Large language models can generate fluent responses, emulate tone, and even follow complex instructions; however, they struggle to retain information across multiple sessions. This limitation becomes more pressing as LLMs are integrated into applications that require long-term engagement, such as…
Deploying large language model (LLM)-based agents in production settings often reveals critical reliability issues. Accurately identifying the causes of agent failures and implementing proactive self-correction mechanisms is essential. Recent analysis by Atla on the publicly available τ-Bench benchmark provides granular…
