2. Character + Mascot Systems Brands struggle for consistent character design.
Gemini doesn’t. It builds characters that stay consistent across poses, lighting, and scenes. Prompt I use: “Create a brand mascot: a friendly futuristic researcher. Generate 6 poses, 6
LLMS
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Consistent Brand Mascot Creation with Gemini
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Why LLMs Struggle with Password Cracking Revealed
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New insight into why LLMs are not great at cracking passwords! https://
share.google/j8kjt3yYLVfmhw
zMQ
… #LLM #LLMs #genai #GenerativeAI #AI #password -

LoopTool: LLMs Learn Tool Use Through Adaptive Data Synthesis
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What if LLMs could learn tool use faster by fixing their own training data gaps? SJTU & Xiaohongshu just built LoopTool for this. It closes the loop between data synthesis and model training, using the model’s own weaknesses to refine datasets adaptively. It probes what the
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Kimi’s Memory and Personalization Features in Development
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Moonshot is working on Memory and Personalisation support for Kimi. "Kimi remembers your preferences from past chats to better tailor future responses." Moonshine?
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Groq Reduces Latency by 50% and Stabilizes Inference Costs
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9/
Groq changed that. Running inference on GroqCloud cut latency by more than 50% and stabilized costs. Speed became sustainable. Lesson five: build for the bottleneck you’ll hit next, not the one right in front of you. -
Neurana: Converting Plain Language Descriptions Into Running Software
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So they asked a dangerous question:
“What if describing an app was enough to build it?” That question became Neurana, a system that turns plain language into running software. -
Designing Effective Toolsets for LLM-Based Agents
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One of the biggest challenges with using agents today is figuring out how to provide the LLMs with a toolset that it understands how to use accurately, is not overly broad, and enables meaningful tasks to be completed. After testing out various approaches, we have found a use
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Deep Agents Weekly Roundup: Resources for Complex Task Automation
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🚀 Deep Agents: The Weekly Roundup 🚀 Dive into our new resources to help you build Deep Agents capable of handling complex, long-running tasks. ✏️ Context engineering is key to reliable agents. Deep agents need detailed context and prompts, and filesystems can help manage that context. We wrote up some strategies for using filesystems to improve agent reliability. Read the blog: blog.langchain.com/how-agent… 🤷♀️ What are Deep Agents? – We break down the key things to know when you’re building an agent to handle more complex tasks. Watch the video: piped.video/watch?v=IVts6ztr… ⚽ Using Skills with Deep Agents CLI – Agent skills are now available in the Deep Agents CLI, enabling you to use the large and growing collection of public skills with your agents. Watch the video: piped.video/Yl_mdp2IiW4/?utm_me… & blog: blog.langchain.com/using-ski… 📚 LangChain Academy Course – If you’re not sure how to get started, our free LangChain Academy course covers the four features that set Deep Agents apart: planning, file systems, sub-agents, and prompting. By the end, you'll design, implement, and deploy your own. Enroll now: academy.langchain.com/course…
→ View original post on X — @marcusborba, 2025-11-28 18:49 UTC
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Build Deep Agents in LangChain Academy Course
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🌟 Build Deep Agents in our LangChain Academy course 🌟
— LangChain (@LangChain) 28 novembre 2025
Many agents today follow the same simple pattern: run in a loop, call tools. That architecture works well enough, but it breaks down as tasks get more complex.
Today, companies of all sizes – from startups to large… pic.twitter.com/fSzwcKsj1QBuild Deep Agents in our LangChain Academy course Many agents today follow the same simple pattern: run in a loop, call tools. That architecture works well enough, but it breaks down as tasks get more complex. Today, companies of all sizes – from startups to large
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Getting Started with AI in 2026: Complete Tutorial to Not Be Late
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How to start AI in 2026? Here is the complete tutorial → https://youtu.be/lOkO9nOyem0 You are not late. Not yet, but don't wait. #ArtificialIntelligence #ChatGPT #Gemini3 #AI