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Your #AI assistant is only as smart 🤓 as your prompt. Here are 5 basic lessons on writing prompts that can turn Microsoft Copilot into an efficient and powerful AI assistant. 👇 What more can we teach you about Copilot? DM us to learn more. Microsoft Copilot

We call it vally - how do you want to call yours? 🤖✨ Imagine an assistant that's always on, an analyst with the keenest eye for trends, and a creative powerhouse ready whenever you need a spark of genius. That's what we've been crafting here at valantic with our AI coworker, affectionately dubbed vally. And we've been creating tailor-made vallys for many delighted customers, each with its own unique name and skill set. Features of our custom AI coworker include: ▶ Real-Time Data Access: Keep crucial information at your fingertips at all times. ▶ Data Security: Your data safely confined within your infrastructure. ▶ Future-Proof Flexibility: Our vendor-neutral architecture means you're never locked in—stay adaptable in a shifting tech landscape. We're not just creating tools; we're developing intelligent AI partners that integrate seamlessly into your workflows, powered by a blend of leading-edge language models tailored to perfectly suit various tasks and designed to adapt as you grow 🔗 Discover how vally can transform your business operations: https://hubs.ly/Q02ZhdP80 #AIAssistant #Innovation #DataSecurity #Valantic #GPT4 #TechTrends

💡 Awen Engineering: Our learnings on "Engineering around foundation models" and "How you can go to market 100x faster" We are serving enterprises over 2Mn API hits per month from our core AI infrastructure. We have deeply experienced the long tail of problems, and learnt from over 100+ discovery calls with global AI teams - 🔓 Three big problems bottleneck enterprise AI teams today: 1. Internal data curation and alignment 2. Engineering prompts that generate reliable outputs from foundation models - including confidence score calibration 3. Scaling evaluation dataset without spending hundreds of hours of manual efforts 🔑 Over the last 12 months, we have built out internal AI agents that help us reduce the time taken to solve each of these problems in hours now. 1. Upload your raw images and our internal services flag inconsistencies in tagging and classification 2. Update 1% tags across all your data - and send to our prompt AI service and auto generate the highest performing prompts 3. Auto generate your evaluation dataset with in built flags for class imbalance, dataset quality and anomalies 🚀 Why does this matter? You save months and millions by going to market 100x faster. #enterpriseAI #generativeAI #datacuration #reliability #timetomarket #speed We would love to hear your learnings in comments. Abhishek Borar Narender Nain Manikya Singh

Every time we sit down with enterprise CIOs and AI teams, the top of mind concern we hear is "Reliability" - how do we go from our use case to reliable AI as fast as we can? In our experience, reliable AI is extremely hard to engineer. There is no silver bullet - it is about the many long tail problems that you need to grind at for weeks and months. But, this is what makes enterprise AI extremely resource intensive today. We are building Awen to change this. We are building the core agentic infrastructure that helps AI teams ship reliable AI 100x faster - from data curation to running evals at scale. Experience more in our playground: https://lnkd.in/gFGnpcdR Abhishek Borar Himanshu Muchhal

GenAI tools are easy to use, and your entire team is competent at using them, right? Wait, no? Salespeople and Marketers aren't AI experts. At least not yet. They shouldn't need to learn 'Prompt Engineering' or suffer trying to understand if a response is accurate, a hallucination, or jibberish... let alone if it's on-brand. 👉 GPTs are the problem. 👈 GPTs are a consumer interface to an enterprise solution. It restricts the volume of data you can process and the 'mental space' you can utilize. For consumer use, this is fine. Not for business use. These limitations lead users to try manipulating the GPT (Prompt Engineering), and interactions often result in incorrect outputs or 'hallucinations.' You simply cannot push enough data into the GPT. Some people create Custom GPTs and can attach some data, but only a little. It's better, but still very incomplete. Symplexity.AI platform is different. We've removed the GPT so you don't face these constraints. Because of this, you can pose a straightforward, simple English query and get a comprehensive response. With unthrottled access to OpenAI, expert-trained data, and direct access to OpenAI, you have unfettered access to the enterprise LLM. No 'Prompt Engineering.' Using simple English, our clients can submit queries involving multiple dimensions (i.e. capability + persona + dimension of analysis + externalities) and receive precise answers in a single interaction. Simple English Prompts: Symplexity.AI is engineered to interpret simple English queries rather than the convoluted prompt formulations the GPTs require. Robust, Human-Quality Output: Proof analytics illustrates Symplexity.AI's prowess in generating responses that are not only on-brand but virtually indistinguishable from human-produced analysis. Expert-trained on YOUR Data: It knows your solutions, personas, brand voice, and differentiation. _______________________________________________ ➡ Take a look at the short video I cut today. ➡ If this looks interesting to you, come by Symplexity.AI or DM me. I'd love to show you how it works. #AIisEasy

Table Tutor: AI Tool for Detailed Table Analysis and Explanation Simplify complex table data with AI-driven analysis and explanations. https://lnkd.in/d3cB6JJ9 #TableTutor #AITool #DataAnalysis #TableExplanation #EdTech #AIinData #SmartAnalysis #TechInnovation #DataClarity #AIinEducation #DataTools #EffortlessAnalysis #AIExplainer #EdTechSolutions #DataInsights

For all content creators frustrated with the homogenized output of ChatGPT - check out Symplexity AI. I just had a great demo - the output is almost as fast as ChatGPT, with 10x better content in terms of detailed, differentiated content. Pricing is in line to encourage early adopters. Reach out to Mark if your current AI content generators are not meeting the mark for you. #AImarketing #contentcreation #gtm

🚀 What if troubleshooting was as simple as asking a question? Imagine asking complex questions in plain English and getting instant, actionable insights—no advanced query skills required. With Mo Copilot, your DevSecOps teams can: - Leverage natural language to troubleshoot faster - Receive AI-guided, context-aware recommendations tailored to security or development needs - Access unified insights across all logs—no more context-switching - Turn data into actionable dashboards in seconds This is troubleshooting redefined. Coming December 2. Stay tuned. #SumoLogic #DevSecOps #AI

🎯 Join me tomorrow for a discussion on agentic AI at the upcoming Galileo webinar! I'll dive deep into the practical challenges and solutions of deploying multi-agent systems in production environments. From orchestrating agent interactions to ensuring reliable performance at scale, we'll explore what it really takes to move beyond proof-of-concepts.

Staying ahead of the curve in the ever-evolving tech landscape is what is important in today's software development market. In this video, our Technology Director Oleg Yanovich shares his personal insights gained from two decades at the forefront of technology. With a focus on cutting-edge technologies such as AI, ML, and data analytics, Oleg talks about EffectiveSoft's expertise in delivering top-notch solutions to clients. #softwaredevelopment #technologypartner #technology #EffectiveSoft #ouradvantages