Kamil Litman’s Post

🚀 The Future of Software: Tailored to Perfection 🌟 In the past, customization was a monumental effort, often reserved for larger enterprises. Many companies, both big and small, settled for the one-size-fits-all model, as crafting unique solutions seemed out of reach. But welcome to the age of AI, where the rules are being rewritten! 🤖 Say goodbye to the era of generic software and embrace a future where each customer receives a tailor-made solution. How is this transformation possible, you ask? The answer lies in the power of Large Language Models (LLMs). These cutting-edge LLMs, trained on hundreds of billions of parameters and their future iterations reaching trillions, possess the capability to fine-tune solutions to meet each customer's unique needs. This is a game-changer! 🌐 Imagine software that adapts seamlessly to your requirements, streamlining processes, and enhancing efficiency like never before. At Forloops, we're at the forefront of this revolution. Our expertise in generative AI empowers us to customize solutions that align perfectly with your specific needs. Ready to experience the future of software? Reach out to us, and let's explore the endless possibilities of AI-driven customization together! 🚀 #AI #CustomSoftware #GenerativeAI #Forloops #TailoredSolutions

Peering into tomorrow's tech landscape with 10 stellar AI statistics. As we stand on the cusp of an AI-driven future, these statistics show how managing operations for digital enterprises and software engineering are getting smarter than ever! With AI on board, enterprises are experiencing fewer '404 Not Found' moments and more '404 AI Just Fixed That' miracles. And now it's your turn! Say goodbye to debugging marathons and hello to AI for efficient business growth with Netsmartz. Contact us today and get started! https://lnkd.in/dR97yEZe #generativeai #artificialintelligence #machinelearning #ai #automation #datanalytics #enterprises #businessgrowth #AI #automated #netsmartz

🚀 Revolutionize Your Tool & IDE Projects with AI! 🛠️ AI integration isn't just an option; it's a necessity for the future of development tools & IDEs. Discover why and how to get started in our latest blog: https://lnkd.in/daEdZH5J #EclipseCloudDevvTools

When contributing to #opensource: 4. The AI ecosystem moves quickly. Extremely quickly. New #LLM models come out every day and are implemented in downstream modules by tomorrow. Make sure you’re ok with this speed and match the pace. Something you can do before you do PRs is to follow issues on the repo and follow the repo itself so you get a sense of how quickly things move/are approved. If you’re into fast-moving projects, jump in. Otherwise, pick one that moves at a slower cadence.

 #MSBuild, May 21-23 Register for the free digital event today and see who’s speaking across 200+ sessions covering AI development, Copilot, developer tools, and more: https://lnkd.in/ewZrmNsP #msftadvocate #MSBuild #Microsoft #Developer #Innovation #AI

The value of Generative #ai? Good morning, I have my tea in hand and now it’s time for my daily thought. Today’s thought is to share both Vin Vashishta’s post on what #genai can do and a posts by Jim Amos and Christopher Rice on if the benefits are with it. Here is their posts: https://lnkd.in/gFRztDzD 🔵initial thoughts. The three applications Vin shares range in complexity. From simply improvement for use to find information to complex #workflow orchestrations. Searching and sorting #algorithms are a core of computing. Being able to adequately search for information is vital for an organization to understand thier data. This is part of a boarder issue for many large organizations that don’t know what resources they actually have. The ability to answer where there data actually is. Discoverability and awareness is vital for organizations to actually use what they have effectively. I’m not going to say Gen AI will fix this awareness issue. But I can hope that this carrot, can push money towards creating a #datacatalog and other tools to improve data access and awareness. For those organizations who have the tools for enabling staff to see what data they have and what the data means. Then adding effective / semantic search, is going to be very valuable. Especially when combined with automated tagging. Effective search is really only available now in Google for internet sites. 🔵 side note: It was great to see both of these topics next to each other on my LinkedIn news feed. It’s shows my efforts to see and discuss a broad spectrum of ideas is working! Most issues are rainbow 🌈 rather then black and white? How do we makes sure we are listening and considering the full spectrum? 🔵is the value of this worth it? This seems like a subject statement.. why buy a #iPhone when we could feed someone? I do agree that GenAI is being over hyped and potentially far too much $$, is being spent on it. My hope is that the money will drive innovation in this space than can enable new types of AI. However, the AI dreamer considers two elements. Good search algorithms have been significantly impactful on technology. The most recent example is the impact of Google’s ability to search the internet. I’m interested to see where just this feature of GenAI goes. The other potentially even more impactful aspect is the ability to translate between languages is significantly enhanced with this tool. Wether or not it is English to Code, German to Russian or Japanese to Dolphin.. 🐬 Although, the issues around hallucinations and alignment.. for translations are not to be ignored easily. This enhanced translation ability could have a huge impact on the world.. #artificialintelligence #aistrategy #data #languages #future #code

𝐀𝐠𝐞𝐧𝐭𝐬 𝐚𝐫𝐞 𝐓𝐚𝐤𝐢𝐧𝐠 𝐎𝐯𝐞𝐫 𝐭𝐡𝐞 𝐀𝐈 𝐑𝐞𝐚𝐥𝐦 🌐🤖 Lately, almost every AI news piece talks about Agents. But why? Some find them intimidating and avoid them. Let's clarify what Agents are and why they matter. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚𝐧 𝐀𝐠𝐞𝐧𝐭? An AI Agent is an autonomous tool that performs tasks, makes decisions, and interacts with its environment. Examples include customer service bots, personal assistants, and automated trading systems. 𝐇𝐨𝐰 𝐀𝐫𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 𝐁𝐞𝐢𝐧𝐠 𝐁𝐮𝐢𝐥𝐭? Right now, there are two main ways to build agents: 𝟏. 𝐔𝐬𝐢𝐧𝐠 𝐆𝐏𝐓 𝐒𝐭𝐨𝐫𝐞: GPT Store allows non-coders to create AI agents using prompt engineering. It's user-friendly, enabling you to make an agent in minutes. For example, you can create a customer service bot and integrate it into your website quickly. 𝟐. 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐟𝐫𝐨𝐦 𝐒𝐜𝐫𝐚𝐭𝐜𝐡 𝐰𝐢𝐭𝐡 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: For those with programming knowledge, frameworks like Langchain, Autogen, and CrewAI offer more customization. Langchain, for instance, simplifies the process, letting developers focus on their AI's functionality without deep machine learning knowledge. 𝐂𝐨𝐦𝐩𝐚𝐫𝐢𝐧𝐠 𝐆𝐏𝐓 𝐒𝐭𝐨𝐫𝐞 𝐚𝐧𝐝 𝐋𝐚𝐧𝐠𝐜𝐡𝐚𝐢𝐧 𝐂𝐨𝐬𝐭: Using GPT Store can be more expensive in the long run as you pay for using the agents on their platform. Building your own agent with Langchain involves no ongoing usage fees, making it more cost-effective despite the initial development time. 𝐄𝐟𝐟𝐨𝐫𝐭: GPT Store requires minimal effort thanks to its user-friendly design, allowing for quick agent creation without coding. Langchain demands more time and effort due to the need for programming and understanding the framework. 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: GPT Store is less customizable but very accessible. Langchain offers extensive customization, enabling tailored AI solutions with advanced features, giving developers more control over the final product. AI agents are transforming technology. Whether using the easy GPT Store or the customizable Langchain, creating AI agents is now accessible to everyone. Embrace this technology to unlock new possibilities for your business. #AI #MachineLearning #Technology #Innovation #GPTStore #Langchain

Generative AI does 3 things. 👍 Interface: GenAI interfaces detect intent and break it down into tasks. 👍 Access: GenAI can provide access to data, models, or other apps based on an intent or well-defined outcome. 👍 Orchestration: GenAI can orchestrate interactions between people and multiple agents, apps, and models to facilitate a complex workflow. 👎 If you hear promises of a single LLM automating a person’s job alone, it will never get beyond the demo stage. It takes multiple agents and apps to handle complex workflows. 👎 If the LLM isn’t supported by a knowledge graph, the product won’t be reliable enough for real-world applications. RAG over unstructured data doesn't work. RAG over a knowledge graph or ontology does. Companies wouldn’t be spending billions on chips and infrastructure if Joe Bob’s 12-month-old startup could build a super-capable LLM with a few thousand GPUs. #GenerativeAI #Data #AI

My brand new AI Weekly Insights: ➡️ #Nvidia unveiled new chips and tools at Siggraph. Their hardware and software vision is truly amazing (and so is their stock performance). If there is a gold rush like generative AI at this moment, one of the best places to own is a shovel sales shop to accommodate the gold diggers. ➡️ Musk thinks money can buy everything, but can he also buy a vision for #xAI (eXplainable AI)? ➡️ #Zoom got some serious data privacy questions when they updated their terms of service, and then updated the update. We also have to ask these questions to other companies who develop AI tools: Do you use our data to train your models? Do you anonymize that data? Can we opt-out? Do you implement the "right to be forgotten"? Can we please have transparent and honest terms of services? ➡️ One particular AI tool to watch is OpenAI's #GPTBot, crawling the whole Internet without asking consent. Curious to see if this works more ethical and responsible than their Bing real-time search integration last March... ➡️ Meanwhile, Microsoft continues the augmented applications road, adding Copilots to frontline worker tools like #Dynamics365 Field Service, definitely the way to go if you want to increase user productivity, efficiency and effectiveness. Musk said during the xAI launch that AGI is coming in 2029. We all know he is notorious in making erroneous predictions but one thing is certain: The Artificial General Intelligence (AGI) tipping point is coming closer and closer with every AI Weekly Insight. So keep following our updates, and ask us for further AI market and product analysis via the comments below! 𝘿𝙤𝙣'𝙩 𝙛𝙤𝙧𝙜𝙚𝙩 𝙩𝙤 𝙡𝙞𝙠𝙚, 𝙨𝙝𝙖𝙧𝙚, 𝙧𝙚𝙥𝙤𝙨𝙩 𝙤𝙧 𝙘𝙤𝙢𝙢𝙚𝙣𝙩. Thank you!