OpenAI Insights Network-Mobiloitte’s Post

Unlocking OpenAI's Enterprise Software: The Future of AI Technology Discover the untold side of OpenAI's business strategy, including their enterprise software and partnerships with tech giants. Explore the potential dangers and benefits this AI technology holds for the world. #OpenAIBusiness #AIEnterpriseSoftware #TechPartnerships #FutureTechnology #AIInnovation #AIAdvancements #OpenAI #AIRevolution #AIInsights #TechTrends

OpenAI's guide on "Six Strategies for Getting Better Results in Prompt Engineering" is a must-read for developers and AI enthusiasts alike. Here's a summary with actionable points: 1. Specify your needs in detail to guide the model 2. Include relevant texts for context and accuracy 3. Simplify complex tasks by breaking them into smaller, manageable tasks 4. Allow the model to process information deeply 5. Integrate external tools for enhanced functionality 6. Regularly test and refine for consistent improvements. Read more about these strategies in OpenAI's guide here: https://lnkd.in/dmdXBFb6 #AI #MachineLearning #OpenAI #Technology #Innovation #PromptEngineering

For some time now, OpenAI has offered the possibility of using 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗖𝗮𝗹𝗹𝗶𝗻𝗴 to interact with its models and to implement processes that perform tasks such as: i𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗔𝗣𝗜s, 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗶𝗻𝗴 𝗱𝗮𝘁𝗮, 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝘀𝗼𝗹𝘃𝗶𝗻𝗴, etc. This gives the ability to, for example, 𝗯𝗲 𝗮𝗯𝗹𝗲 𝘁𝗼 "𝗽𝗿𝗼𝗴𝗿𝗮𝗺" 𝗮 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝘄𝗶𝘁𝗵 𝗻𝗮𝘁𝘂𝗿𝗮𝗹 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲, like the one shown in the cookbook link. These types of capabilities open up a range of possibilities when it comes to 𝗴𝗶𝘃𝗶𝗻𝗴 𝗮𝗴𝗶𝗹𝗶𝘁𝘆 𝘁𝗼 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 to be able to implement processes speaking their language, 𝗲𝗹𝗶𝗺𝗶𝗻𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗰𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆. We are at a very early stage in this technology, but the possibilities that are opening up in this area can have a great impact on 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗼𝗳 𝗻𝗲𝘄 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀. Looking forward to hearing your thoughts! #openai #generativeai #artificialintelligence #llm #dataproducts

The Future of Knowledge Worker Tools: How OpenAI Could Become the First $10 Trillion Company Discover how OpenAI's revolutionary technology could shape the future of knowledge worker tools and possibly become the first company valued at $10 trillion. Dive into the potential impact and implications in this video. #FutureTech #OpenAI #KnowledgeWorkerTools #TechInnovation #ArtificialIntelligence #BusinessPrediction #TechInvestment #RevolutionaryTech #AIAdvancement #FutureTechnology

Do you want to be a master prompter? Search no more, OpenAI released publicly their prompting guide and it is full of insights ⏬ 6 key elements to remember: 1. Write Clear Instructions: ⛅ - Be specific: Clarity in instructions leads to more relevant outcomes. - Define the desired output length and complexity. - Demonstrate preferred formats. - Minimize ambiguity to enhance model accuracy. 2. Provide Reference Text: 📖 - Counteract potential fabrications with concrete reference materials. - Reference texts guide the model towards accurate and reliable answers. 3. Split Complex Tasks into Simpler Subtasks: 🔪 - Break down tasks to reduce errors and improve manageability. - Consider tasks as workflows of simpler, interconnected steps. 4. Give the Model Time to "Think": 🧠 - Allow the model to process and reason, similar to a human solving a complex problem. - Encourage a "chain of thought" approach for more accurate reasoning. 5. Use External Tools: 🛠 - Supplement the model's capabilities with specialized tools for specific tasks. - Leverage resources like text retrieval systems or code execution engines. 6. Test Changes Systematically: 🚧 - Measure improvements with a comprehensive testing approach. - Ensure that modifications lead to overall performance enhancements. Point 6 is especially critical. Building an end to end testing for your prompts and use cases is key to improvement. This is one of the first thing we have built for our own AI. #generatieveai #llm #promptengineering #digitaltransformation

🌟 Just in! 🌟 Batch processing in OpenAI OpenAI now supports batch processing for requests, guaranteeing completion within 24 hours and slashing costs by 50%! This means more efficient and affordable AI solutions for your projects. Take advantage of this new feature to optimize your workflow and save on expenses. Learn more about batch processing and start leveraging these benefits today: https://lnkd.in/eejVmftE #AI #MachineLearning #OpenAI #BatchProcessing #CostEfficiency

𝗖𝘂𝘁 𝗗𝗼𝘄𝗻 𝗚𝗣𝗧 𝗖𝗼𝘀𝘁𝘀 𝗯𝘆 𝟱𝟬% 𝘄𝗶𝘁𝗵 𝗕𝗮𝘁𝗰𝗵 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴! Tired of your AI costs skyrocketing? Here’s a game-changer: batch processing on the Open-AI platform. Batch processing isn’t just a tech upgrade—it’s a strategic move to optimize your AI workflows and slash costs. By handling multiple requests simultaneously, you not only enhance efficiency but also significantly reduce expenses. https://lnkd.in/gXDnGq4b #AI #BatchProcessing #OpenAI #TechInnovation #CostEfficiency

𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗶𝗻𝗴 𝗔𝗜 𝗟𝗮𝘁𝗲𝗻𝗰𝘆 𝘄𝗶𝘁𝗵 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗲𝗱 𝗢𝘂𝘁𝗽𝘂𝘁𝘀 AI-driven applications demand speed, and OpenAI’s latency optimization guide offers insights into reducing response times without compromising accuracy. By leveraging predicted outputs, developers can decrease wait times in situations where instant responses are critical, such as in customer service and real-time data processing. This method enables smoother user experiences by preemptively suggesting likely responses based on recent input. OpenAI’s guide provides strategies to balance performance with efficiency, helping developers maximize their applications’ responsiveness. #OpenAI #AI #AIApplications #LatencyOptimization #PerformanceOptimization

Prompt engineering guidelines? Get them from the horse's mouth = OpenAI: https://lnkd.in/ehgh5Drj Then apply them to design your own virtual assistant extending your business via https://dm2find.ai (available in 15 languages) #promptengineering #openai #ai #llm #artificialintelligenceforbusiness

📷Revolutionizing AI with OpenAI's Vision Capabilities 🌟 OpenAI's Vision capabilities in GPT-4o and GPT-4 Turbo are setting new standards in visual data understanding. These models bring a versatile approach to image analysis, enhancing applications across various sectors. 🔍 Key Insights: 🔹 Versatile Image Processing: Models can interpret images through URLs or base64 encoding, offering flexible visual data handling. 🔹 High-Resolution Analysis: Select between low and high-resolution modes to balance detail and processing speed. 🔹 Comprehensive Capabilities: While excelling at answering general questions and understanding object relationships, the models have limitations with precise spatial tasks and specialized images. 🌐 Real-World Applications: 🔹 E-commerce: Boost product recommendations and enhance visual search features. 🔹 Healthcare: Assist in diagnostics with image interpretation, mindful of specialized limitations. 🔹 Security: Improve surveillance systems through AI-driven image analysis for anomaly detection. 💲 Usage Costs: Images are metered and charged in tokens, based on size and detail level. 🔹 Low detail: 85 tokens per image. 🔹 High detail: Cost calculated based on image dimensions and 512px squares. 👉 https://lnkd.in/dmJ5BMAS Engage with Us: 🔹 How can visual AI transform your industry? 🔹 What implementation challenges do you foresee? #AI #LLM #LLMMultimodality #MachineLearning #VisualAI #TechInnovation #DigitalTransformation #OpenAI #DataScience #TechTrends #LLMUsageCosts