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ChatGPT vs. Copilot: Understanding Their Unique Strengths and Potential With the launch of Copilot, excitement was high among many of our customers, anticipating a technology akin to ChatGPT but more seamlessly integrated with daily tools like Microsoft Teams, Word, Excel, and Outlook. However, expectations met reality, and it's clear that while both tools are powerful, they serve distinctly different purposes. Where Copilot Shines: Copilot excels in writing code, a boon for developers and IT professionals. Its ability to suggest and correct complex code snippets in real-time within tools like Visual Studio or directly in GitHub is nothing short of revolutionary for the coding community. ChatGPT’s Forte: On the other hand, ChatGPT has proven itself as a more versatile assistant for non-coding tasks. Whether it's drafting emails, creating documents, or providing customer support, ChatGPT's capabilities align closely with the needs of the typical office worker. Its conversational nature makes it incredibly user-friendly for everyday tasks that require a touch of human-like interaction. Looking Forward: Despite some current limitations, the potential for Copilot is immense. Its deep integration with the Microsoft 365 suite and access to an organization’s entire communication repository (emails, Teams messages, documents) positions it uniquely as a future powerhouse tool. It could potentially evolve to not only perform tasks but also to emulate the user’s own writing style, transforming it into a true digital assistant. Value Assessment: For now, those who aren't writing code may find that the $20 spent on ChatGPT offers more immediate value compared to the $30 Copilot subscription. However, as developments continue and integrations deepen, I remain incredibly optimistic about Copilot’s future. I invite your thoughts and experiences on using these transformative technologies. How have ChatGPT and Copilot impacted your workday?

ChatGPT helped me build the Clarify‎ Chrome extension and saved us 25-50% of the engineering time in the process. 🤯 I know that sounds hype-y, but hear me out.  I was super skeptical of how much you could actually use ChatGPT to support product development, but decided to give it a try at our team hackathon a few weeks back.  It gave me the ability to contribute meaningful code alongside our engineers and showed me how we can use ChatGPT as a tool moving forward to speed up prototyping.   Here’s how I approached developing our Chrome extension with the help of AI:   1️⃣ Scraping LinkedIn data: ChatGPT provided working code to extract profile information.  I used prompts like “It should scrape basic data from a Linked /in/ URL”.  2️⃣ Designing the UI: I uploaded a Figma mockup, and ChatGPT translated it into functional CSS. I leaned on ChatGPT to help me refine and style the interface with prompts like “Update the CSS of the button to match LinkedIn buttons” and “Style the popup to match the provided design.”  3️⃣ Debugging and refining: ChatGPT helped fix bugs and fine-tune API requests. This was where I spent the most time. I used prompts like “Remove the settings box and fetch the workspace slug from the API” and asked for help with questions like "How do I make the extension refresh only once on LinkedIn profile pages?" In hours, we had a working prototype. It wasn't perfect, but it was functional enough to validate the concept and get everyone onboard. From there, I tagged in John Jiang‎ from our engineering team to help make it production-ready by rebuilding the infrastructure, fixing bugs, introducing TypeScript and React, and adding continuous integration. This experience highlighted four main lessons for me: 1️⃣ AI can turn semi-technical operators into functional engineers. It's a game-changer for rapid prototyping and idea validation. 2️⃣ Create prototypes before committing engineering resources. This allows for faster iteration and better decision-making. 3️⃣ Engineers are still crucial for production-ready products. AI gets you far, but skilled developers are needed for polish and scalability. 4️⃣ AI can free your engineers from grunt work. Let them focus on high-impact features while AI handles lower-level tasks. For small teams, this approach is a force multiplier. It's not about replacing engineers, but about expanding capacity and accelerating development cycles. If you want more details on how I set up this project, check out my full write-up on the Clarify blog. I go into more detail about the development process, the prompts I used, and the lessons learned along the way. The link is in the comments 👇 

OpenAI’s latest release, Canvas, introduces a promising new feature for software engineers to collaborate on writing and coding projects. By streamlining collaboration and enhancing coding workflows, businesses can increase team productivity and reduce project timelines. This interface shifts ChatGPT from a simple chat tool to a critical partner, helping engineers refine code, suggest edits, and streamline workflows. As automation continues to dominate tech trends in 2024, Canvas represents a significant advancement in optimizing how engineers handle complex tasks efficiently. At Akvelon, we’ve been at the forefront of leveraging advanced AI technologies to enhance software engineering outcomes. Features like Canvas open new opportunities for automating routine processes, enabling engineers to focus on higher-level problem-solving and innovation. Key ways software engineers can benefit from Canvas: 𝐂𝐨𝐧𝐭𝐞𝐱𝐭𝐮𝐚𝐥 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠: Canvas allows ChatGPT to work with an in-depth understanding of the project, offering precise and targeted suggestions that align with overall project goals. 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭-𝐝𝐫𝐢𝐯𝐞𝐧 𝐟𝐞𝐞𝐝𝐛𝐚𝐜𝐤: Engineers can select specific sections of code or text, and ChatGPT provides focused, inline revisions or feedback tailored to their exact needs. 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐫𝐞𝐬𝐭𝐨𝐫𝐚𝐭𝐢𝐨𝐧: The restore feature allows engineers to revert to previous versions of their work, ensuring no progress is lost during collaboration. This feature is especially useful in large-scale development projects. 𝐂𝐨𝐧𝐭𝐞𝐱𝐭-𝐚𝐰𝐚𝐫𝐞 𝐜𝐨𝐝𝐞 𝐬𝐮𝐠𝐠𝐞𝐬𝐭𝐢𝐨𝐧𝐬: Canvas offers targeted suggestions to assist with debugging, helping engineers identify and resolve issues more efficiently, while still allowing them to control the implementation of fixes. 𝐂𝐫𝐨𝐬𝐬-𝐥𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐬𝐮𝐩𝐩𝐨𝐫𝐭: Canvas facilitates code translation between languages like Python, JavaScript, C++, and PHP, allowing engineers to work across different tech stacks without friction. 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐯𝐞 𝐞𝐝𝐢𝐭𝐢𝐧𝐠: Canvas facilitates collaborative editing, enabling engineers to work alongside ChatGPT to refine their projects while receiving intelligent, context-driven feedback. At Akvelon, our AI-enhanced engineering teams have extensive experience implementing these cutting-edge features. We specialize in helping organizations integrate advanced technologies like LLMs, ML, and AI into their workflows to drive significant outcomes. Let’s connect and explore how our expertise can support your teams in unlocking the full potential of AI and achieving valuable results in 2024 and beyond. #openAI #technews #softwareengineering #LLM #AI

6 Best ChatGPT Alternatives in 2024 https://lnkd.in/gyNEBXUJ In this post, I will share the best ChatGPT alternatives to help you find the right AI chatbot. In this post, I’ll: Share the best ChatGPT alternatives Compare each alternative with ChatGPT My experience with each tool with all the important details you need Though there are now hundreds of ChatGPT alternatives in the market, I will not cover all of them. Why? I’ve tried some, and they are good for nothing. I’ll talk about some of the best ones that stand out. So, if you’re fed up with ChatGPT, get ready to select a pretty awesome alternative. The Best ChatGPT Alternatives 1. GitHub Copilot What I like: Complete and secure code automation. Pricing: $10-$39 per user per month Best for: Coders If you’re a coder, then Github Copilot is just for you, as I have personally tried it, and believe me, it’s equal to ChatGPT if you’re a developer (it utilizes GPT 3.5). With GitHub Copilot, what I found unique is you can feel more confident with the quality of code you write. Beginners usually face this problem, but it helps them create projects 55% faster. Some of the most useful features of GitHub Copilot includes: Convert Comments to Code: Comment on what you need, and Copilot...

ChatGPT has crossed 180 million users. But most people are STUCK in beginner mode. These 27 ChatGPT Plugins will skyrocket your efficiency. 1. Slack Integration: Allows querying Slack through ChatGPT. 2. Zapier Compatibility: Facilitates interaction with over 5000 applications including Google Sheets and Docs. 3. Expedia Functionality: Centralizes trip planning in one platform. 4. Klarna Shopping Feature: Offers search and price comparison from numerous online stores. 5. Vogue Article Search: Enables browsing through Vogue's articles. 6. TODO List Management: Provides a TO-DO list management tool within ChatGPT. 7. Lowe's Tool Finder: Assists in locating home-building tools. 8. SpeechkiBooks Collaboration: Converts text to audio upon request in ChatGPT. 9. FigGPT Integration: Enables design work in Figma via ChatGPT. 10. Noteable Creation: Supports notebook creation in Python, SQL, and Markdown for data exploration and visualization. 11. KAYAK Travel Planning: Offers travel planning and booking services. 12. LangChain Documentation: Provides current information on the LangChain Python library. 13. Weather Reporting: Delivers current weather information for any city. 14. Cryptocurrency Price Checker: Offers current pricing for various cryptocurrencies. 15. NBA Updates: Provides latest NBA standings and statistics. 16. Qdrant Documentation Search: Enables searching through Qdrant's documentation. 17. Open Table Reservations: Facilitates restaurant searches and bookings. 18. Zilliz Plugin Integration: Allows searching and interacting with documentation. 19. Wolfram Access: Grants access to computation, mathematics, curated knowledge, and real-time data. 20. Pricerunner Shopping Aid: Gives shopping suggestions. 21. DesignerGPT Feature: Generates websites within ChatGPT. 22. Milo Family AI Experience: Transforms 20 minutes with kids into engaging activities. 23. Chess Game: Offers the ability to play chess. 24. Instacart Ordering: Enables grocery orders from local stores. 25. Email Sending Tool: Assists in crafting and sending emails. 26. FiscalNote Access: Provides real-time legal and political datasets. 27. DAN Personality Modifier: Changes ChatGPT's personality. ----------

ChatGPT Tutorial : How to build a branded ChatGPT clone | Part 2 In our recent live coding session, we embarked on an initiative to enhance the user interface of a chat application leveraging the Flutter framework. This collaborative effort focused on addressing design and layout challenges, with the goal of improving the overall user experience. Our journey included a series of methodical steps and problem-solving activities, culminating in a more refined and functional chat interface. Key Achievements: Enhancing Chat Panel Layout: The session began with efforts to increase the width of the chat panel and adjust image placements for a cleaner, more user-friendly layout. This task required precise adjustments to ensure the chat content effectively utilized the available screen space. Addressing Flutter Layout Constraints: We encountered a specific challenge related to Flutter's default handling of layout spacing, particularly around the mobile device's status bar area. This issue necessitated a thoughtful redesign of the layout to ensure alignment and visual harmony across the application. Innovating with Dynamic Content Display: A significant portion of the session was dedicated to implementing a dynamic chat history display. By integrating a ListView with a Conditional Builder, we effectively differentiated between user inputs and ChatGPT responses. This approach enabled a seamless and interactive user experience, showcasing the versatility of Flutter in handling dynamic content. Developing and Linking a Data Schema: To support the dynamic display of chat messages, we created a comprehensive data schema named ChatResponse. This schema included critical attributes to distinguish between message sources and content, laying the foundation for a robust data management strategy within the application. Fine-tuning User Interface Details: Attention to detail was paramount in our session. We meticulously adjusted text alignments, padding, and color schemes to enhance the aesthetic appeal and readability of the chat interface. These refinements were pivotal in achieving a polished and engaging user interface. Conclusion: The live coding session was a testament to the power of collaboration and problem-solving in software development. By navigating through various challenges and leveraging the Flutter framework's capabilities, we achieved a significant improvement in the chat application's user interface. This experience not only enriched our technical skills but also highlighted the importance of adaptability and meticulousness in the development process. The insights gained from this session are invaluable for professionals seeking to enhance their application interfaces or explore the capabilities of Flutter. We look forward to sharing more of such enriching experiences and invite the community to join us in future sessions for collective learning and innovation.

🎨 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝘆𝗼𝘂𝗿 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗻𝗲𝘄 '𝗰𝗮𝗻𝘃𝗮𝘀' 𝗳𝗲𝗮𝘁𝘂𝗿𝗲—𝗶𝘁'𝘀 𝗹𝗶𝗸𝗲 𝗵𝗮𝘃𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗼𝘄𝗻 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝗱𝗿𝗮𝗳𝘁𝗶𝗻𝗴 𝗯𝗼𝗮𝗿𝗱! OpenAI has introduced a new feature called "canvas" for ChatGPT, designed to enhance the user experience for writing and coding projects. This innovative interface provides a separate workspace alongside the regular chat window, allowing users to generate and edit content more efficiently. 𝗪𝗿𝗶𝘁𝗶𝗻𝗴 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 - Users can generate email drafts directly in the canvas window. - A slider allows for easy adjustment of the text length. - Specific sentences can be highlighted for targeted modifications, such as making the tone friendlier or adding emojis. - The entire email can be rewritten in a different language upon request. 𝗖𝗼𝗱𝗶𝗻𝗴 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 - Users can prompt ChatGPT to create code, such as an API web server in Python. - An "add comments" button automatically inserts in-line documentation in plain English. - Users can highlight code sections to request explanations or ask questions. - A new "code review" button suggests edits for both AI-generated and user-written code. 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗔𝗰𝗰𝗲𝘀𝘀 Canvas is currently being rolled out in beta to the following user groups: - ChatGPT Plus and Teams users (as of October 3, 2024) - Enterprise and Edu tier users (starting the following week) 𝗧𝗼 𝗮𝗰𝗰𝗲𝘀𝘀 𝘁𝗵𝗲 𝗰𝗮𝗻𝘃𝗮𝘀 𝗳𝗲𝗮𝘁𝘂𝗿𝗲, 𝘂𝘀𝗲𝗿𝘀 𝗰𝗮𝗻 𝗲𝗶𝘁𝗵𝗲𝗿: 1. Select "GPT-4o with canvas" from the model picker dropdown menu 2. Wait for ChatGPT to automatically open a canvas window when it detects a need for a separate workspace 3. Type "use canvas" to manually open a project window Source: TechCrunch ==**== 🚀 Ready to explore the 'canvas' feature? Share your thoughts below, and let us know how you'll use it! Don't forget to like and follow for more updates! 👇 #Innovation #ChatGPT

Lumen Spei Projects X Best Advisory - case study Best Advisory, a Croatian consulting company specializing in business transformation and the digital economy, wanted to optimize its business process for setting and achieving objectives - using #AI. They approached us to turn OpenAI into a #react web app, resulting in precise OKRs with just a few clicks, demonstrating how AI is changing business. Quick insight: 🔥Rapid Development: just three weeks from concept to reality. 🔧Future-Ready tool: offers real-time guidance, personalized objectives through advanced algorithms, seamless collaboration, and continuous AI-driven evolution 🔗Read the full story: we shared the WHOLE process with you, and yes - answered the question of why just not use ChatGPT. Thank you to Best Advisory for trusting us, we love this kind of creative project. You can find the OKR Copilot here: https://lnkd.in/enpzhjX4. Tools like this show a shift toward demand for user-friendly, agile solutions that streamline complex processes. And we learned that it can be done fast, and well! So if you are in search of a digital transformation partner 🚀 - reach out to Lumen Spei. #digitaltransformation #reactapp #businesssolutions #aiapplications #lumenspei

🚀 Exciting News for Skill Enhancement! 🌐 If you're eager to boost your skills using AI tools but struggling to find the perfect fit! Check out Ashutosh Singh's latest article on C# Corner: "Top ChatGPT Alternatives to Supercharge Your Workflow." 🚀 Dive into the insightful guide: https://lnkd.in/gGMvgsRR. Elevate your capabilities and stay ahead in the tech game! #AI #SkillEnhancement #TechTools #CSharpCorner

“You can code anything using ChatGPT” – A statement we’ve all heard over the past year. But is it entirely true? Not quite. After being bombarded with YouTube videos and LinkedIn posts about v01, @claudeAI, and @cursor, I finally decided to give these AI tools a try and develop something of my own without any prior coding knowledge. Here's how it went: 🚀 Starting with v01 for design I created a logo in Figma and then prompted v01 to design a website for a web automation company based on that style. My experience with v01 was a mixed bag—it worked great for individual components like headers and footers, offering unique and usable designs. The AI understood most of my prompts, and I was able to integrate its outputs into my website. 💻 From design to code I took the code generated by v01 and used ChatGPT/Claude to create a proper file structure, splitting the code into different sections like Header, Footer, Main Body, and individual pages (Product, Contact Us, About). Then, I used Cursor AI to generate these files in the codebase. 🔧 Challenges with Cursor AI Once the files were created, I copied the code from ChatGPT into them. But here's the twist: the codebase was riddled with errors, most of which were related to import modules—the file paths provided by ChatGPT didn’t always match Cursor’s file structure. While this was an easy fix, it’s something to watch out for. 👨💻 Debugging and layout issues When I ran the website on localhost, several issues cropped up: elements weren’t centered, the logo was missing, and the header was misaligned. I used Cursor’s built-in assistance to pinpoint where the layout code was and made adjustments accordingly. ✨ UI magic I also incorporated design elements from Magic UI, which were seamlessly coded into the website, such as containers, the matrix styled background and buttons. 🚀 Final thoughts Setting up the GitHub repository and using the terminal to manage code files was still a manual process. You need to know the basics of coding, and YouTube tutorials are your best friend if you’re just starting out. Conclusion: AI tools like v01, ChatGPT, and Cursor AI are powerful, but they’re not magic wands. These tools can be a great learning tool when you are stuck with a problem and want to fix it. You still need some coding knowledge and problem-solving skills to make it all come together!