F5’s Post

Building AI apps is like assembling a complex puzzle. Each piece—whether it’s inferencing services, vector databases, or knowledge graphs—needs to fit together perfectly. But these pieces aren’t static; they’re dynamic, containerized, and accessed via APIs, making the operational load heavier than ever. As AI becomes more mainstream, understanding the intricacies of these components is key to maintaining secure and efficient systems. Discover how these elements come together and why they’re crucial for the future of AI applications in our latest blog: https://lnkd.in/ewuWKi-P #AI #ApplicationArchitecture #APIs

Anthropic has released Claude 3 setting so many benchmarks in LLMs. There are three powerful models: Haiku, Sonnet, and Opus. Opus is the most intelligent model that has expert knowledge, language fluency in Spanish, French and Japanese and reasoning abilities. Claude 3 offers live chats, auto-completions, and real-time data extraction. It has strong vision as it processes various visual formats, charts, graphs, and more. It improved contextual understanding, reducing unnecessary refusals. Claude 3 Opus shows a twofold improvement in challenging open-ended questions. It offers a 200K context window, capable of exceeding 1 million tokens. It is responsibly designed addressing biases, ensuring safety, and transparency in AI models. It is better at following complex instructions, developing customer-facing experiences. Model Details: Opus: Intelligence beyond comparison, optimal for advanced tasks. Sonnet: Balances intelligence and speed, cost-effective for enterprise workloads. Haiku: Fastest, most compact model for near-instant responsiveness. Model Availability: Opus and Sonnet available now in the Claude API. Haiku coming soon. Explore the future of AI with Claude 3! Visit https://lnkd.in/gfMPTJvr to start building. #Claude3 #AIInnovation #Anthropic #ArtificialIntelligence #TechNews #Innovation #MachineLearning #llms #genai

One of the most challenging parts of building a viable AI model is accessing the large volumes of data necessary to train AI, feeding it to the model and ensuring that it stays up to date. That's where Fivetran comes in. ✅ Our infographic depicts a retrieval-augmented generation (RAG) architecture that enables organizations to leverage the power of off-the-shelf generative Al for their proprietary data, saving money and time. Download the infographic here: https://5tran.co/3TcNBJJ #GenerativeAI #GenAI #RAGArchitecture

Unlock the power of off-the-shelf generative AI with CSTX! Transform your projects with cutting-edge technology tailored to your needs. Talk to the CSTX experts if you're interested in collaborating or deploying any of these technologies. #GenerativeAI #Innovation #Fivetran #CSTX

This weekend I read "The landscape of emerging AI agent architectures for reasoning, planning, and tool calling: a survey" by Masterman et al., 2024. In this paper the authors review AI agents implementations. The AI agent term is used to define LLM systems that tackle more complex tasks that require planning, reflections and actions that use the "reasoning" capabilities of LLMs, in contrast with more zero-shot tasks (eg RAG systems). The paper focuses on comparing the multi-agent vs single-agent architectures to solve different tasks taking into account their architecture, capabilities and tools that they use. To me, this paper is important because it gives a good general overview of the AI agent systems (and I am new to the topic). I find very interesting thinking about tasks and problems that can be tackled using this "agentic approach". For me, that in itself it is a skill (that I need to improve on). Enjoy! Paper: https://lnkd.in/gucNytmF #LLM #AIAgents #genAI

Discover the myriad Benefits of leveraging Artificial Intelligence to optimize loading speed and performance. In our latest blog, we unravel the transformative impact of AI algorithms on web efficiency, ensuring a seamless user experience. From intelligent caching to streamlined coding, explore how AI brings a performance boost. 💻 Dive into the details on our website - click the link below https://buff.ly/3TXM2AT . . #aioptimization #speedboost #websiteperformance #digitalbenefits #AIandTech #webefficiency #userexperience #codingefficiency #techsolutions #performancetips #optimizedloading #AIalgorithms #digitalstrategy #webboost #efficiencygains

Had the privilege of speaking at an event yesterday and came away with some key takeaways. Firstly, GenAI is not the future, at least not right now. Key model architectures like LLM's and SD-type models have several known issues like hallucination and lack of steerability that prevent wide adoption. Secondly, literally every company/person I know is constrained by training compute. This has two solutions: either start investing in custom accelerators or change your model architecture to be more training efficient. Lastly, training larger and larger models should probably not be your company's end goal. Rather, focus on a series of smaller, more specialized models and only call the larger LLM when you need help with planning or execution. #AI #MachineLearning #TechTalks #TrainingEfficiency #SpecializedModels

Is generative AI a threat or an opportunity? Gartner expert Haritha Khandabattu weighs in now ⬇️ Get your software engineering function ready for the future of GenAI now. Watch this #GartnerIT webinar: https://gtnr.it/3vs8GYY | Check out #GartnerAPPS GenAI agenda sessions: https://gtnr.it/4cfF15I #SoftwareEngineering #GenAI #AI

Welcome to the #AI Generation! Did you know another new tech trend is stealing the spotlight? Here’s the buzzword—AI PC! But what exactly is an AI PC? In simple terms, an AI PC is similar to upgraded PC architecture and the key player driving the power of AI PC is MEMORY! Since memory stores data for large-scale language models, its access speed significantly impacts AI computing performance across various tasks. Curious to dive deeper into AI PC’s key components? Don't miss out on this hot trend! Check out more details here: https://lnkd.in/gN4rztpW #ADATADRAM #AIGeneration #AILanguageModels #TechTrends #AIReadyMemory #MemoryForAI

With only 35-40% of businesses adopting AI, it's clear that the current AI data centers aren't cutting it. High costs and energy consumption are major barriers. If you're looking to harness the true power of AI while keeping costs and energy use in check, we've got just the session for you. Join us to: 🔎 Discover the root causes of hidden costs and power consumption in AI inferencing for audio, image, and language tasks. 💡Gain a deeper understanding of the differences between traditional CPU-centric architectures and NeuReality's modern NR1-S™ AI Inference Solution. 🤖 Learn how to choose the best AI data center to meet your needs. Register now: https://lnkd.in/dEmXhysy