Aman Sharma ⧉’s Post

📍📌 Why LangChain is the Hottest Trend in the IT Industry Right Now! 🌟 (Save for later) . . . In the ever-evolving landscape of technology, few innovations capture the industry's collective imagination as swiftly and comprehensively as LangChain. Here's why LangChain is taking the IT world by storm: 🔗 Seamless Integration: LangChain's modular design makes it incredibly easy to integrate with various tools and platforms, facilitating smooth workflows and reducing development time. 💡 Generative AI Capabilities: With LangChain, developers can leverage powerful generative AI models to create advanced conversational agents, dynamic content generation, and intelligent automation solutions. ⚡ Efficiency and Scalability: LangChain's architecture supports efficient, scalable solutions that can handle high traffic and complex computations without compromising performance. 🌐 Cross-Industry Applications: From retail and e-commerce to healthcare and finance, LangChain's versatility allows it to be applied across a wide range of industries, driving innovation and enhancing customer experiences. 📈 Community and Support: A thriving community and robust support system ensure that developers have access to the latest updates, best practices, and collaborative opportunities, fostering continuous learning and improvement. As someone deeply involved in Generative AI for retail and always on the lookout for groundbreaking technologies, I've seen firsthand how LangChain can transform projects and elevate outcomes. Curious to learn more about LangChain and its impact? Let's connect and discuss how this cutting-edge technology can revolutionize your projects too! 👇🏼👇🏼👇🏼👇🏼 My Github link : https://lnkd.in/g_gEKqZZ #LangChain #GenerativeAI #TechInnovation #AI #MachineLearning #ITTrends #Technology #google #openai #appdevelopment

Last week Asian founders did... 🚀 Ka Ling Wu launched Upsolve AI (YC W24), a platform to build and deliver analytics to your end-users via embeddable dashboards. 🚀 Sahitya S. launched Endeavor, an OS for manufacturers to automate key workflows across sales, inventory, and supply chain. 🚀 Kevin Yang launched Serif.ai, an AI email assistant that writes context-informed emails in your personal voice. 🚀 Vishnu Sridhar launched Matter Intelligence, developing advanced sensors to capture extreme-resolution images of natural and artificial materials from space to surface. 💸 David Shim raised a $50M Series B for Read AI, an AI copilot for wherever you work, making your meetings, emails, and messages more productive with summaries, content discovery, and recommendations. 💸 Kevin H. raised an $800k Pre-seed round for EQ Exchange (EQX), a crypto exchange practicing radical transparency by publicly disclosing all financials in real-time, both on-chain and off-chain. 💸 Pranav Ravella raised an $8.7M Seed round for Sapien, a platform to create autonomous coworkers for finance professionals. 💸 Alex Yeh raised an $82M Series A for GMI Cloud, an AI infrastructure company providing GPUs and a platform to optimize inference and fine-tuning.🎙️ Arvind Jain, co-founder of Glean, talks about Glean's enterprise search product and the future direction of the company with Sequoia Capital 🎙️ Akhil Ramaswamy, wrote a substack article about approaches to defensibility for AI agents Links for the last two in the comments ⬇️

#ETtechExplainer: The story behind DeepSeek AI’s greener and leaner chatbot 📌 The Zhejiang-based startup is led by Liang Wenfeng, cofounder of the quantitative hedge fund High-Flyer. 📌 DeepSeek V3, the large language model (LLM) that operates the chatbot R1 employs a machine-learning technique known as the “Mixture of Experts” (MoE) architecture. By Vaibhavi Khanwalkar Read more at: https://lnkd.in/gVA4HmUw

My explainer about the underlying technology in DeepSeek AI, China's player in the AI race, in today's ET:

🚀 Excited to dive into the world of LangChain! 🌐 LangChain is revolutionizing how we build applications that integrate with language models. From dynamic chatbots to sophisticated data analysis tools, LangChain simplifies and supercharges development. As a developer, I'm thrilled to leverage its capabilities to create smarter, more intuitive applications. Let's innovate and push the boundaries of what's possible with LangChain! 💡 #LangChain #AI #MachineLearning #Innovation #Tech #Development #NaturalLanguageProcessing #FutureOfTech # DataAnalytics

In my opinion, these agentic “platform” startups are going to die off quickly. Tl:dr langchain over crew ai There are three key elements to useful agents. Process (how it approaches a task) Orchestration (how compound systems work together and self-heal) Tooling (The integrations that enable agents to perform tasks in the real-world) Simply putting a chain of thought prompt into a thread class isnt game changing in any real way.

The tech and financial world's are abuzz with stories about DeepSeek - here is an interesting Wired article that provides more information. The reduction in computing power needed to generate tokens, the optimized performance of the reasoning engine and R-1's open source nature, as shown in preliminary demos, will significantly increase competition & pricing pressure on the current AI industry leaders.

🚀 We’re leveling up our AI game! 🤖 Our partnership with Almanak is just a piece of the puzzle as we supercharge our decision-making and fine-tune our trading strategies in the DeFi space. 💹 This collab is all about using AI to make our trades smarter and navigating the market a breeze for everyone. 🌊 We’re on a mission to unleash some serious innovation in the DeFi scene and stand out like a boss. 💪 Want to see how we're shaking things up? 👀 Check out the announcement to get the scoop on our big AI plans and how we’re set to reshape the game! ✨

Relying on AI to code? Here's the real danger: The modern tech ecosystem has become very stagnant. Many incremental improvements but very little innovation. IMO most of that has to do with over-investment in React and SSR lock-in. Regardless of reason, this is masking a fact that many are not considering: AI needs prior examples. Eventually disruptive innovation will happen and a divide will open up: Developers who can and cannot code on the leading edge. Where will you land?