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Discover MoreDeveloper of a High-Performance Computing software built for cloud
Infrastructure developer to accelerate Web3 adoption
Leading Ethereum infrastructure developer
Mobile software to optimize app monetization
Web3 data platform for indexing and analytics
Metaverse advertising technology provider
Chat-based image generator
Smart VSaaS platform for security monitoring
LLMs fine-tuners for adaptive models
Graph database management system
Last-mile delivery provider
Enterprise learning cloud for employee training
April 9, 2024
Neo4j Partners with Google Cloud to Launch New GraphRAG Capabilities for GenAI ApplicationsNeo4j®, the world’s leading graph database and analytics company, announced new native integrations with Google Cloud that dramatically speed up Generative AI application development and deployment across several crucial stages. The results solve a problem for enterprises that struggle with complexity and hallucinations when building and deploying successful GenAI applications requiring real-time, contextually rich data and accurate, explainable results. The integrations are available now.
Jun 27, 2024
Rescale Receives Success Memorandum from the Defense Innovation Unit for Its HPC Modernization ProgramRescale, the leader in secure high performance computing built for the cloud, announces the successful completion of an HPC Modernization Program prototype evaluation for the Department of Defense (DoD) Defense Innovation Unit (DIU). As a result, DIU has issued Rescale a Success Memorandum, making it possible for DoD organizations seeking compute power for mission needs to contract with Rescale without needing to re-compete.
On-premises cloud computing is emerging as a preferred solution due to its ability to provide tailor-made convenience for corporate demands, including wider bandwidth, fast-changing resource allocation, and enhanced confidentiality. In this report, we will explore this sector through the lens of Oxide Computer, which is reshaping the business model and showcasing how generative AI leverages the advantages of the on-premises IaaS model.
Autonomous AI Agents are revolutionizing the AI landscape and gaining significant traction among different sectors. Despite their outstanding potential and rapid growth, the market is nascent. This report unveils Autonomous AI in terms of technology and business aspects, outlining the potentials of relevant companies and investment insights.
Large language models (LLMs) have limitations when it comes to producing precise and professional answers or tackling tasks that require intensive domain expertise. In this case, LangChain served as a link between LLMs and domain-specific specialists, enhances accuracy, and context-specific answers by combining the reasoning and decision-making abilities of LLMs with domain-specific expertise. Driven by vector databases, LangChain revolutionizes contextual comprehension of LLMs. This report unveils LangChain and the propeller of vector databases, outlining its vertical sectors that empower LLMs to a remarkable development.
The digital landscape is evolving at an unprecedented pace, and AI image generators are at the forefront. These advanced tools are redefining how content creation and design processes are conducted, which is significantly important across industries. AI image generators can turn simple text descriptions into vivid and complicated images, offering quick access to creative design. These tools not only open up an entirely new digital market but also reshape the new possibilities for AI arts and creative AI. In this report, we will delve into AI image generators, exploring their features, applications, and market, unveiling the future of this technology.
Large Language Models (LLMs) are designed for understanding and generating human language, evolving from rule-based to neural networks. LLM training involves data collection and Transformer-based pretraining, though it's resource-intensive. The future looks bright, with the generative AI market projected to reach $76.8 billion by 2030 (31.5% CAGR). Future trends include more context, larger models, multimodal abilities, and specialization. Investment prospects lie in strong model training capabilities, multimodal diversification, and cost-effective companies.
2024-10-29
AMD Tumbles After AI Chip Growth Fails to Inspire Investors
2024-10-29
Shopify Is Winning Salesforce Clients, Stoking E-Commerce Rivalry
2024-10-29
Snap Gains on Results Suggesting Ad Revamp Is Working
2024-10-29
Russian Hackers Are Targeting US Officials, Microsoft Says
2024-10-29
OpenAI, Broadcom Working to Develop AI Chip Focused on Inference