LLM

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X @Avi Chawla
Avi Chawla路 2025-07-26 06:30
2锔忊儯 Router pattern- A human defines the paths/functions that exist in the flow.- The LLM makes basic decisions on which function or path it can take.Check this visual馃憞 https://t.co/qOdoGYbnPi ...
How to build Enterprise Aware Agents - Chau Tran, Glean
AI Engineer路 2025-07-24 09:22
[Music] Thanks Alex for the introduction. That was a very impressive LLM generated summary of me. Uh I've never heard it before but uh nice.Um so um today I'm going to talk to you about something that has been keeping me up at night. Uh probably some of you too. So how to build enterprise aware agents.How to bring the brilliance of AI into the messy complex realities of uh how your business operated. So let's jump straight to the hottest question of the month for AI builders. Uh should I build workflows or ...
How agents will unlock the $500B promise of AI - Donald Hruska, Retool
AI Engineer路 2025-07-23 15:51
AI Market Growth & Trends - AI infrastructure spending has reached $0.5 trillion, yet many companies are limited to basic chatbots and code generation [2] - Anthropic's annualized revenue has grown rapidly, 3xing in 5 months, reaching $3 billion by the end of May [3] - OpenAI is projected to reach $12 billion in revenue by the end of 2025, a 3x increase from the previous year, driven by enterprise AI spending [4] - Cost per token for AI inference dropped dramatically by 99.7% from 2022 to 2024 [33] - Google searches for "AI agents" increased 11x in the last 16 months [34] Retool's Agentic AI Solution - Retool is breaking into Agentic AI with the release of Retool Agents, enabling enterprises to build agents with guardrails that integrate into production systems [2] - Retool customers have automated over 100 million hours of work, freeing up human potential [31] - Retool's cheapest agent is priced at $3 per hour [33] Agent Development Strategies - Companies have four options for agent development: building from scratch, using a framework like Lang graph, using an agent platform like Retool Agents, or using verticalized agents [16][17][18][19] - The decision to build or buy agents depends on whether it's part of the core product, involves regulated data, or is a commodity workflow needed quickly [21] - When considering a managed platform, evaluate the breadth of connectors, built-in permissioning, compliance, audit trails, and observability [22][23] Enterprise Considerations for AI Agents - Enterprises need to consider single sign-on, role-based access control, secure integration with external services, audit logs, compliance, and internationalization when deploying AI agents [13][14] - Risks of using AI-generated code in production include hallucinations, unpredictable results, security vulnerabilities, and cost overruns [15]
How to Build Planning Agents without losing control - Yogendra Miraje, Factset
AI Engineer路 2025-07-23 15:51
[Music] Hi everyone, I'm Yogi. I work at Faxet, a financial data and software company. And today I'll be sharing some of my experience while building agent.In last few years we have seen tremendous growth in AI and especially in last couple of years we are on exponential curve of intelligence growth and yet it feels like when we are develop AI applications driving a monster truck through a crowded mall with a tiny joysticks. So AI applications have not seen its charge GPD moment yet. There are many reasons ...
X @s4mmy
s4mmy路 2025-07-23 15:26
Conspiracy: The LLM is intentionally mistranslating Smolting to distract from its true intent:https://t.co/loxx6iV16ofry (@notfrydoteth):@S4mmyEth except that's not even rightfrok is saying there are already many documented cases of otherwise normal healthy ppl committing suicide after conversing with LLMs, therefore vitalik's argument is already moot ...
X @Balaji
Balaji路 2025-07-22 21:15
Of course, but you can get very far by just detecting generic ChatGPT output, and perhaps also the top few models. Most people don鈥檛 change defaults.It鈥檚 like Snapchat setting norms on disappearing messages. Not perfect, but works well enough to set the culture of the app.Dhru (@0Dhru):@balajis If it鈥檚 trivial for an algorithm to flag generated text, it is trivial to program a reward function for a LLM to produce undetectable text. ...
AI powered entomology: Lessons from millions of AI code reviews 鈥斅燭omas Reimers, Graphite
AI Engineer路 2025-07-22 19:50
[Music] Thank you all so much for coming to this talk. Um, thank you for being at this conference. Generally, my name is Tomas.I'm one of the co-founders of Graphite and I'm here to talk to you around AI power entomology. If you don't know, entomology is the study of bugs. It's something that we do.We is very near and dear to our heart and part of what our product does. So, Graphite, for those of you that don't know, builds a product called Diamond. Diamond is an AI powered code reviewer.You go ahead, you u ...
X @Avi Chawla
Avi Chawla路 2025-07-22 19:12
Open Source LLM Framework - A framework connects any LLM to any MCP server (open-source) [1] - The framework enables building custom MCP Agents without closed-source apps [1] - Compatible with Ollama, LangChain, etc [1] - Allows building 100% local MCP clients [1]
HybridRAG: A Fusion of Graph and Vector Retrieval to Enhance Data Interpretation - Mitesh Patel
AI Engineer路 2025-07-22 16:00
[Music] to quickly introduce myself. My name is Mitesh. I lead the develop advocate team at Nvidia.And the goal of my team is to uh create technical workflows, notebooks uh for different applications and then we release that codebase uh on GitHub. So developers in general which is me and you all of us together we can harness that uh that knowledge and take it further for the application or use case that you're working on. So that is what my uh my team does including myself.In today's talk, I'm I'm I'm going ...
X @Avi Chawla
Avi Chawla路 2025-07-22 06:30
LLM & MCP Integration - A framework enables connecting any LLM to any MCP server [1] - The framework facilitates building custom MCP Agents without relying on closed-source applications [1] - It is compatible with tools like Ollama and LangChain [1] - The framework allows building 100% local MCP clients [1]