​[[{“value”:” Generative AI models can produce information on a wide range of topics, but their application brings new challenges. These include maintaining relevance, avoiding toxic content, protecting sensitive information like personally identifiable information (PII), and mitigating hallucinations. Although foundation models (FMs) on Amazon Bedrock offer… Read More »Implement model-independent safety measures with Amazon Bedrock Guardrails Michael Cho AWS Machine Learning Blog

​[[{“value”:” Microsoft unveiled VoiceRAG, a voice-based retrieval-augmented generation (RAG) system that utilizes the new Azure OpenAI gpt-4o-realtime-preview model to combine audio input and output with powerful data retrieval capabilities. This innovative system represents a significant leap in natural language processing by enabling seamless interaction with… Read More »Microsoft Released VoiceRAG: An Advanced Voice Interface Using GPT-4 and Azure AI Search for Real-Time Conversational Applications Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Traffic forecasting is a fundamental aspect of smart city management, essential for improving transportation planning and resource allocation. With the rapid advancement of deep learning, complex spatiotemporal patterns in traffic data can now be effectively modeled. However, real-world applications present unique challenges due to… Read More »STGformer: A Spatiotemporal Graph Transformer Achieving Unmatched Computational Efficiency and Performance in Large-Scale Traffic Forecasting Applications Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Transformer-based Models in Segmentation tasks have initiated a new transformation in the Computer Vision realm. Meta’s Segment Anything Model has proven to be a benchmark due to its robust and exquisite performance. SAM has proven highly successful as supervised segmentation continues to gain popularity… Read More »Researchers from UC Berkeley Present UnSAM in Computer Vision: A New Paradigm for Segmentation with Minimal Data, Achieving State-of-the-Art Results Without Human Annotation Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have gained widespread popularity, but their token generation process is computationally expensive due to the self-attention mechanism. This mechanism requires attending to all previous tokens, leading to substantial computational costs. Although caching key-value (KV) states across layers during autoregressive decoding… Read More »Block Transformer: Enhancing Inference Efficiency in Large Language Models Through Hierarchical Global-to-Local Modeling Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have gained immense capabilities due to their training on vast internet-based datasets. However, this broad exposure has inadvertently incorporated harmful content, enabling LLMs to generate toxic, illicit, biased, and privacy-infringing material. As these models become more advanced, the embedded hazardous… Read More »Evaluating the Vulnerabilities of Unlearning Techniques in Large Language Models: A Comprehensive White-Box Analysis Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” ChatGPT is a versatile tool with immense potential for businesses across diverse industries. Its capability to comprehend and generate human-like text enables its use in numerous applications, making it valuable for companies aiming to optimize operations, boost customer engagement, and foster innovation. Let’s look… Read More »Top 10 ChatGPT Use Cases for Businesses Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Integrating human values after model training using Learning-based algorithms requires fine-tuning LLMs, which requires more computational power and is time-consuming. Additionally, it generates biased and undesirable responses by the user. There is a need to develop a model that can efficiently adapt to user… Read More »Integrated Value Guidance (IVG): An AI Method that Combines Implicit and Explicit Value Functions Applied to Token-Wise Sampling and Chunk-Level Beam Search Afeerah Naseem Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Climate and weather prediction has experienced rapid advancements through machine learning and deep learning models. Researchers have started to rely on artificial intelligence (AI) to enhance predictions’ accuracy and computational efficiency. Traditional numerical weather prediction (NWP) models have been effective but require substantial computational… Read More »Prithvi WxC Released by IBM and NASA: A 2.3 Billion Parameter Foundation Model for Weather and Climate Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advances in autoregressive language models have brought about an amazing transformation in the field of Natural Language Processing (NLP). These models, such as GPT and others, have exhibited excellent performance in text creation tasks, including question-answering and summarization. However, their high inference latency… Read More »Researchers from KAIST and Google AI Introduce Blockwise Parallel Decoding (BCD): An AI Method for Rescoring Algorithms for Improved Efficiency and Fluency in Language Models Tanya Malhotra Artificial Intelligence Category – MarkTechPost