In part 1 of this series, we discussed the rise of Large Language Models (LLMs) such as GPT-4 from OpenAI and the challenges associated with building applications powered by LLMs and LLM deployment. Today, we will focus on the deployment challenges that come up when users want to accomplish LLM deployment within their own environment. […]
Deploying Large Language Models in Production: LLM Deployment Challenges Read More »
Large Language Models (LLMs) like GPT-4 and Llama 2 have opened up new possibilities for conversational AI. Companies worldwide are eager to build real-world applications leveraging these powerful models. However, taking LLMs into production introduces a unique set of challenges based on the size and complexity of these models. In this comprehensive blog series, we’ll
Deploying Large Language Models in Production: The Anatomy of LLM Applications Read More »
Large language models are performing increasingly impressive tasks, but practitioners are still actively researching how to optimize the functionality of LLMs. Today we’ll be exploring agentic LLMs and the current LLM LangChain paradigm. “Agentic AI” might be the next natural macro AI trend after “generative ai”. Read on to discover where the current LangChain paradigm
Exploring LLM Apps: the LangChain Paradigm and Future Alternatives Read More »
The financial sector is witnessing an alarming surge in fraudulent incidents, creating a critical concern for the industry. In 2021 alone, fraud shot up by 70%, causing losses of over $5.8 billion. This troubling trend, paired with emerging threats like AI-based scams, makes it crucial to use the best tools available. In this post, we’ll
Unlocking the Power of AI in Financial Services: Fraud Prevention with Seldon & Effectiv Read More »
Artificial intelligence (AI) is everywhere and is becoming increasingly present in our daily lives. From personalized recommendations on Netflix to virtual assistants on our smartphones, AI is changing the way we interact with technology. With our growing reliance on AI comes important questions about how it should be regulated and used. In this blog, we’ll
The EU AI Act and its Potential Impact on Enterprises Harnessing the Power of AI Read More »
Seldon Technologies has been recognized in the 2023 Gartner Market Guide for Artificial Intelligence (AI) Trust, Risk and Security Management (TRiSM). Seldon is listed as a Representative Explainability/Model Monitoring Vendor in the AI TRiSM market for its product Seldon Deploy Advanced. What is AI TRiSM? According to the Gartner report, “the AI TRiSM market comprises
Seldon has recently launched a new version of its lightweight offering: Seldon Core+. Core+ is designed especially for organizations needing support for their unique ML challenges, like those in highly regulated industries that must pay particular attention to governance, risk, and compliance. This new version of Core+ provides our open-source software, Seldon Core v2, backed
Seldon Core+: An In-Depth Guide Read More »
AI is everywhere, and at Seldon, we’re enabling our customers to put AI in everything. The benefits of this revolutionary technology are becoming increasingly evident, and we’re seeing many more companies roll out AI-powered solutions to innovate within their core products and to drive efficiencies across GTM and business operations. At this exciting tipping point
AI and gender bias is a prevalent issue that impacts several aspects of our lives: from the design of products to the type of services provided to each respective gender. It often reflects and amplifies existing gender biases and stereotypes in society. The gender data gap can cause significant issues and complications with results of
The Gender Data Gap in AI: Confronting Bias in Machine Learning Read More »
The ever-growing presence of technology in our daily lives has sparked discussions among many about how it affects the environment. Being able to measure, control, and ultimately reduce the carbon footprint of your product or service is not only a responsible stance to take, it can actually bring tangible benefits to the business. Quantifying ML
The Environmental Impact of ML Inference Read More »
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