Artificial Intelligence
RAG (Retrieval Augmented Generation) is revolutionizing search and information retrieval by using generative AI and vector search to produce direct answers based on trusted data. While RAG has many advantages, it also has limitations, such as constraints with current search technologies and human search inefficiencies. To address these issues, RAG-Fusion has been developed, which generates…
This article discusses the performance of the Llama-2 AI model in analyzing a dataset and suggesting a database schema. Llama-2 successfully identifies categorical and confidential columns in the dataset and suggests a database schema with separate tables for different categories. It also provides SQL scripts to create the tables and suggests data quality checks for…
The article highlights the importance of data scientists in leveraging the potential of data in today’s data-driven world. Companies are recognizing the need for expert manpower and human intelligence to effectively utilize accumulated data. Data scientists play a crucial role in empowering machines to analyze and interpret data.
Stanford researchers introduce a novel approach to inferring detailed object shading from a single image. By utilizing shade tree representations, they break down object surface shading into an interpretable and user-friendly format, allowing for efficient and intuitive editing. Their method combines auto-regressive inference with optimization algorithms, outperforming existing techniques. Experimental results demonstrate its effectiveness across…
The Concept2Box approach bridges the gap between high-level concepts and specific entities in knowledge graphs. It employs dual geometric representations, with concepts represented as box embeddings and entities represented as vectors. This approach allows for the learning of hierarchical structures and complex relationships within knowledge graphs. Experimental evaluations have shown the effectiveness of Concept2Box in…
Researchers from the Shibaura Institute of Technology have developed a novel AI solution for face orientation estimation. By combining deep learning techniques with gyroscopic sensors, they have overcome the limitations of traditional methods and achieved accurate results with a smaller training dataset. This innovation has potential applications in driver monitoring systems, human-computer interaction, and healthcare…
A team at the MIT Lincoln Laboratory Supercomputing Center (LLSC) is developing techniques to reduce energy consumption in data centers, specifically in relation to artificial intelligence (AI) models. Their methods include power capping hardware and stopping AI training early, with minimal impact on model performance. The team hopes their work will inspire other data centers…
This article discusses how organizations can use Amazon Comprehend, an AI/ML service, to build and optimize custom classification models. It provides guidelines on data preparation, model creation, and model tuning. The article also explores techniques for handling underrepresented data classes and mentions the cost of using Amazon Comprehend.
Large language models (LLMs) like Llama 2 have gained popularity among developers, scientists, and executives. Llama 2, recently released by Meta, can be fine-tuned on AWS Trainium to reduce training time and cost. The model uses the Transformer’s decoder-only architecture, has three sizes, and pre-trained models are trained on 2 trillion tokens. Distributed training is…
The post discusses the importance of data analytics in today’s data-driven world and recommends obtaining a Data Analytics Certification as a valuable and indispensable tool for success and innovation in various industries.
AI has revolutionized the marketing landscape, offering insights, predictive analytics, and personalized customer experiences. AI marketing tools help save time, increase efficiency, and optimize efforts. AI can analyze customer data, personalize content, generate content ideas, and make real-time decisions. Seven AI tools for marketing strategy include Adzooma, Jasper AI, HubSpot, Murf AI, Adobe Sensei, ClickUp,…
Researchers from ETH Zurich and Microsoft introduce SCREWS, a modular framework for improving reasoning in Large Language Models (LLMs). The framework includes three core components: Sampling, Conditional Resampling, and Selection. By combining different techniques, SCREWS improves the accuracy of LLMs in tasks such as question answering, arithmetic reasoning, and code debugging. The framework also emphasizes…
Bark is an open-source AI model created by Suno.ai that can generate realistic, multilingual speech with background noise, music, and sound effects. Unlike typical TTS engines, Bark produces highly natural-sounding audio using a GPT-style architecture.
AI plays a significant role in customizing and enhancing the process of product packaging. In this age of personalization, companies that utilize AI can take advantage of its capabilities to influence and improve personalized packaging solutions.
The article discusses recent advancements in the field of Multimodal AI. It highlights the integration of DALLE 3 into ChatGPT, enabling the generation of comprehensive images based on user prompts. It also mentions the enhancements made to Google BARD through extensions, allowing it to fetch and display information from various Google apps. Other AI models…
This article discusses the challenges of keeping up with the rapidly evolving field of machine learning. It suggests a balanced and continuous approach to learning and highlights a selection of articles that cover both fundamental and cutting-edge topics in the field. The highlighted articles include discussions on feature interactions in model predictions, benchmarking machine learning…
This article explores Large Language Models (LLMs) and their growing importance in natural language processing and understanding. LLMs are known for their ability to generate text that is comparable to human creativity and clarity. It provides a beginner’s roadmap to understanding LLMs.
Researchers have developed AnyMAL, a groundbreaking multimodal language model that enables machines to understand and generate human language in conjunction with various sensory inputs. AnyMAL integrates visual, auditory, and motion cues, allowing for a shared understanding of the world through sensory perceptions. The model demonstrates strong performance in tasks such as creative writing, practical recommendations,…
Generative AI has revolutionized the healthcare industry, particularly in enhancing patient experience. It offers several use cases, such as personalized treatment plans based on patient data, generating synthetic data for research, enhancing medical imaging quality, creating tailored educational materials, developing virtual health assistants, and accelerating drug discovery. However, it is important to address potential risks…
GlueGen is a new framework introduced by Salesforce AI that aims to enhance text-to-image (T2I) models by aligning single-modal or multimodal encoders with existing models. It addresses the challenge of modifying or enhancing T2I models and enables multi-language support and sound-to-image generation. GlueGen aligns diverse feature representations, including multilingual language models and multi-modal encoders, to…