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Palantir and Edgescale AI Join Forces This post contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. These statements may relate to, but are not limited to, Palantir’s expectations regarding the amount and the terms of …
This post was co-written with Anthony Medeiros, Manager of Solutions Engineering and Architecture for North America Artificial Intelligence, and Adrian Boeh, Senior Data Scientist – NAM AI, from Schneider Electric. Schneider Electric is a global leader in the digital transformation of energy management and automation. The company specializes in providing integrated solutions that make energy …
Retrieval Augmented Generation (RAG) is a powerful technique for enhancing large language models (LLMs) by grounding them in external knowledge sources. This blog post looks into a common challenge in RAG implementations: achieving high-quality semantic search. We’ll explore why traditional similarity search often falls short, and how new “task type” embeddings in Vertex AI offer …
Read more “Enhancing your gen AI use case with Vertex AI embeddings and task types”
Over the last 18 months, AWS has announced more than twice as many machine learning (ML) and generative artificial intelligence (AI) features into general availability than the other major cloud providers combined. This accelerated innovation is enabling organizations of all sizes, from disruptive AI startups like Hugging Face, AI21 Labs, and Articul8 AI to industry …
Google Cloud Storage is at the core of many customers’ cloud deployment because of its simplicity, affordability and near-infinite scale. But managing millions or billions of objects across numerous projects and with hundreds of developers can be complex, often requiring a team of analysts manually analyzing data for insights. Earlier this year, we introduced the …
Read more “Understand your Cloud Storage footprint with AI-powered queries and insights”
Machine learning (ML) and artificial intelligence (AI) systems rely heavily on human-annotated data for training and evaluation. A major challenge in this context is the occurrence of annotation errors, as their effects can degrade model performance. This paper presents a predictive error model trained to detect potential errors in search relevance annotation tasks for three …
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Common …
Read more “Import a question answering fine-tuned model into Amazon Bedrock as a custom model”
Get Your “My First Robot” Kit In today’s world, artificial intelligence and robotics are no longer just the stuff of science fiction. These technologies are shaping industries, education, and even how children learn and engage with technology. The “My First Robots” kit from Robot School serves as a perfect example of how AI and robotics …
Read more “Exploring the “My First Robots” Kit: Empowering the Next Generation of Engineers”
The Anthropic’s Claude 3 family of models, available on Amazon Bedrock, offers multimodal capabilities that enable the processing of images and text. This capability opens up innovative avenues for image understanding, wherein Anthropic’s Claude 3 models can analyze visual information in conjunction with textual data, facilitating more comprehensive and contextual interpretations. By taking advantage of …
Read more “Architecture to AWS CloudFormation code using Anthropic’s Claude 3 on Amazon Bedrock”
Artificial intelligence (AI) has given organizations brand new ways to represent data so that it can be analyzed and understood at scale. AI models are trained to interpret the semantic meaning of words and other data by encoding them as vector embeddings. These embeddings represent the relative position in the vector space of the data …
Read more “BigQuery vector search now GA, setting the stage for a new class of AI-powered analytics”