​[[{“value”:” Causal models are crucial for explaining the causal relationships among variables. These models help to understand how various factors interact and influence each other in complex systems. However, it is challenging to find the probabilities related to interventions and conditioning at the same time.… Read More »This AI Paper from Cornell Unravels Causal Complexities in Interventional Probability Estimation Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​Kenyan Bank Sentiment Analysis Dashboard — Tableau BERT vs spaCy vs TextBlob vs NLTK in Sentiment Analysis for App Reviews Sentiment analysis is the process of identifying and extracting opinions or emotions from text. It is a widely used technique in natural language processing (NLP) with applications in… Read More »Sentiment Analysis of App Reviews: A Comparison of BERT, spaCy, TextBlob, and NLTK Francis Gichere Becoming Human: Artificial Intelligence Magazine – Medium

​AI Robot Causal reasoning has been described as the next frontier for AI. While today’s machine learning models are proficient at pattern recognition, they struggle with understanding cause-and-effect relationships. This limits their ability to reason about interventions and make reliable predictions. For example, an AI… Read More »CInA: A New Technique for Causal Reasoning in AI Without Needing Labeled Data Francis Gichere Becoming Human: Artificial Intelligence Magazine – Medium

​[[{“value”:” To hear directly from the authors on this topic, sign up for the upcoming virtual event on June 20th. It’s an exciting time to build with large language models (LLMs). Over the past year, LLMs have become “good enough” for real-world applications. The pace… Read More »What We Learned from a Year of Building with LLMs (Part I) Eugene Yan, Bryan Bischof, Charles Frye, Hamel Husain, Jason Liu and Shreya Shankar AI & ML – Radar

​[[{“value”:” NVIDIA has recently introduced NV-Embed on Hugging Face, a revolutionary embedding model poised to redefine the landscape of NLP. This model, characterized by its impressive versatility and performance, has taken the top spot across multiple tasks in the Massive Text Embedding Benchmark (MTEB). Licensed… Read More »NV-Embed: NVIDIA’s Groundbreaking Embedding Model Dominates MTEB Benchmarks Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Many developers and researchers working with large language models face the challenge of fine-tuning the models efficiently and effectively. Fine-tuning is essential for adapting a model to specific tasks or improving its performance, but it often requires significant computational resources and time.  Existing solutions… Read More »Mistral-finetune: A Light-Weight Codebase that Enables Memory-Efficient and Performant Finetuning of Mistral’s Models Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The Generative Pre-trained Transformer (GPT) series, developed by OpenAI, has revolutionized the field of NLP with its groundbreaking advancements in language generation and understanding. From GPT-1 to GPT-4o and its subsequent iterations, each model has significantly improved architecture, training data, and performance. Let’s do… Read More »The Evolution of the GPT Series: A Deep Dive into Technical Insights and Performance Metrics From GPT-1 to GPT-4o Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Federated learning enables collaborative model training by aggregating gradients from multiple clients, thus preserving their private data. However, gradient inversion attacks can compromise this privacy by reconstructing the original data from the shared gradients. While effective on image data, these attacks need help with… Read More »Overcoming Gradient Inversion Challenges in Federated Learning: The DAGER Algorithm for Exact Text Reconstruction Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Symflower has recently introduced DevQualityEval, an innovative evaluation benchmark and framework designed to elevate the code quality generated by large language models (LLMs). This release will allow developers to assess and improve LLMs’ capabilities in real-world software development scenarios. DevQualityEval offers a standardized benchmark… Read More »Symflower Launches DevQualityEval: A New Benchmark for Enhancing Code Quality in Large Language Models Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Knowledge-intensive Natural Language Processing (NLP) involves tasks requiring deep understanding and manipulation of extensive factual information. These tasks challenge models to effectively access, retrieve, and utilize external knowledge sources, producing accurate and relevant outputs. NLP models have evolved significantly, yet their ability to handle… Read More »Combining the Best of Both Worlds: Retrieval-Augmented Generation for Knowledge-Intensive Natural Language Processing Nikhil Artificial Intelligence Category – MarkTechPost