Jason Summers-James

4 Types of LLM Architectures powering the world right now On today’s menu 1️⃣ Types of LLM Architectures → What’s out there? 2️⃣ Core Concept → The “why” behind each design 3️⃣ Strengths → Where they outperform their predecessors 4️⃣ Limitations → What to watch out for before you adopt ⚡ This is your quick reference map — save it to make faster, smarter LLM decisions. If you found this breakdown useful → hit ♻️ Repost to share with your network. And don’t forget to ➕ Follow Ravena O to stay ahead in GenAI, Agents & Data Science 🚀 CC: Bhavishya Pandit #llm #opensource #llama #huggingface #google #openai #rag #python #datascience #machinelearning #ml #ai #meta #agents #artificialintelligence #nvidia #genai #generativeai

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The “Frustration to Solution” Story Introducing Compozy: Taming Multi-Agent AI Chaos 🚀 For years, building multi-agent AI systems meant battling endless complexity, vendor lock-in, and frustrating debugging cycles. Developers spent more time fixing infrastructure than innovating. Compozy changes that. It unifies agents, tasks, tools, and signals into clear, scalable YAML workflows—powered by Go and Temporal for speed, reliability, and cost efficiency. With Compozy, orchestrating AI agents is as reliable as enterprise software and as simple as writing YAML. [https://lnkd.in/dVtwxCeE] #Compozy #ProductHunt #AIInfrastructure #AIAgents #GenAI #AutomationTools #DigitalInnovation

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→ 𝐓𝐡𝐞 𝐇𝐢𝐝𝐝𝐞𝐧 𝐏𝐨𝐰𝐞𝐫 𝐁𝐞𝐡𝐢𝐧𝐝 𝐄𝐯𝐞𝐫𝐲 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦 What if I told you that the AI you use every day hides a secret architecture? An invisible stack that makes decisions smarter, faster, and safer. Understanding the Agentic AI Stack isn’t just for experts. It’s the key to grasping how modern AI thinks and acts. • 𝐓𝐨𝐨𝐥 / 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥 𝐋𝐚𝐲𝐞𝐫 This is where AI gathers raw information - retrieving facts, documents, or data from vast sources. Without it, AI would be guessing blindly. • 𝐀𝐜𝐭𝐢𝐨𝐧 / 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐋𝐚𝐲𝐞𝐫 Here, AI connects the dots and decides what next step to take. It orchestrates multiple tools to complete complex tasks seamlessly. • 𝐑𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠 𝐋𝐚𝐲𝐞𝐫 This is the brain. It interprets data, formulates insights, and plans actions. Without robust reasoning, AI is just a fancy calculator. • 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤 / 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐋𝐚𝐲𝐞𝐫 AI learns from experience. This layer processes feedback and fine-tunes models in real time to improve accuracy and reliability. • 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 / 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 𝐋𝐚𝐲𝐞𝐫 The unsung hero that ensures AI respects privacy, laws, and ethical boundaries. Without this, trust in AI erodes. 👉𝐃𝐌 𝐦𝐞 𝐟𝐨𝐫 𝐜𝐚𝐫𝐞𝐞𝐫 𝐠𝐮𝐢𝐝𝐚𝐧𝐜𝐞/ 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐈 𝐬𝐞𝐭 𝐮𝐩 👉Join the community to stay updated on new 𝐆𝐞𝐧𝐀𝐈-𝐀𝐠𝐞𝐧𝐭𝐢𝐜𝐀𝐈 advancements:- link in the comments section Follow Ujjyaini Mitra for more insights on Enterprise Gen AI

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Business leaders are increasingly being asked to do more with less. One area where this shows up clearly is in database strategy. Many organizations are adding PostgreSQL alongside Oracle; not because Oracle is going away, but because PostgreSQL offers flexibility, scalability, and cost efficiency. When that happens, your operations and infrastructure leaders need confidence that their teams can handle both worlds. That is why we designed the PostgreSQL for Oracle DBAs: One-Day Intensive Training. In just a day, your Oracle-skilled staff gain the cross-training they need to: - Support PostgreSQL environments without relying on trial-and-error - Reduce escalations by addressing production issues with confidence - Ensure uptime and stability as systems scale It is a practical way to expand capabilities, protect SLAs, and make the most of your database investments. 🔗 Full details here: https://lnkd.in/dqcK5rJT

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