Flyaps

Prompt engineers make $280,000-$405,000 a year. Is writing prompts a stand-alone job already? Not really, if you ask us. From our perspective, it’s a must-have skill for any developer working with LLMs. At Flyaps, we build AI solutions and prompt engineering has become our daily routine. Here is a case study of how we used prompt engineering to build an AI chatbot that quickly retrieves information from a large knowledge base.

Are you still mixing Gen AI with LLMs? Let’s clear out the difference: Gen AI includes multiple technologies that generate different types of content – text, images, audio and so on. While LLMs (Large Language Models) are a subcategory of Gen AI technologies that focus on text generation. Swipe to see the examples of both 👇

At Flyaps, we developed AI solutions to help you unlock new efficiencies and growth – 3X faster than the usual AI product development cycle. We’ll take you through the entire process step-by-step, fitting the solution for your specific use case and ensuring it solves your unique business challenges. Here’s how you can adopt our pre-built AI solutions in 4 steps.

McKinsey's research uncovered 63 ways generative AI is being used across 16 different industries. What does this mean for you?  Well, it means there's an AI solution out there waiting to take your business to the next level 🔥 Think about it: businesses are already saving buckets of money with AI (Yell's report throws out a figure of up to $35,000). Still skeptical? Consider JPMorgan's AI, which processes tasks in seconds that once took 360,000 lawyer hours annually. Massive time savings and, while they haven't put a number on how much they save, you can guess. So, let's not waste any more time. Check out the gen AI use cases we've outlined below to find the perfect fit for your business needs. Here you can find more: https://lnkd.in/d6iw7g7M

🤌 We've got a real gem for you here! As an AI-focused software development company, we're always tuned into the AI scene, because this is our area of expertise. We've been part of various AI projects and understand how crucial it is to pick the right technology. We've compiled a comprehensive guide covering the tools, technologies, and frameworks most frequently used in generative AI development. This tech stack is basically the blueprint for building generative AI solutions. Want to know more about each tool? Visit our guide here: https://lnkd.in/d9Ryr3w4

Everybody wants to integrate AI. But the time and cost associated with its implementation lead to hesitation or delays. We're here to make things easier for you. Flyaps has built 6 ready-made AI solutions tailored for various industries and functions. We can integrate them directly into your existing systems, significantly cutting down on the development time and cost. Let us know if you want to learn more.

Small business owners wear many hats and find it hard to manage everything. AI could change the game by saving time and simplifying tasks. Find out how startups and SMBs can use AI in the carousel below. P.S. In case you're wondering how SMBs can afford AI, we've written an article breaking down the AI development costs. Yes, AI can be affordable. Dive in to find out more: https://lnkd.in/dhyMXSat

Thinking about incorporating generative AI into your business but still have some doubts? Then this post is for you 👇😁 There are some pretty convincing reasons why both startups and well-established companies should start investing in generative AI like, yesterday! 🔵 First off, imagine cutting down your operational costs by up to a whopping 40%! Gen AI can automate a ton of routine tasks — think data entry, crunching numbers, and even handling some types of customer queries. 🔵 Now, how about getting your product ideas out there faster? Companies that integrate AI into their product development process are launching new products 45% faster than competitors who stick to traditional methods. 🔵 And 40% of businesses are already investing in AI and planning to pour even more resources into it. Why? Because they've seen what AI can do, and they're betting big on its game-changing potential to innovate, save costs, and supercharge productivity. All facts and figures presented are not created by us 😀 they are based on McKinsey's research. More about the current state of the Gen AI value chain and the best industries for investment are right here: https://lnkd.in/dsKh3ZET

Would you believe it if you received such a call? 😀📲 Right before the election, voters in New Hampshire received AI-generated calls mimicking President Biden telling them to skip the primary and wait until November to vote. In our work with telecoms, we've seen a lot of types of fraud, including SMS phishing, SIM jacking, international revenue sharing, and much more. That’s why we wrote a big article discussing how telecoms can use AI as a cornerstone of their fraud detection and prevention strategies: https://lnkd.in/dDpdx7uH 

Let's talk about the ethical side of AI and the existential threats it poses. Meet Anthropic and ElevenLabs. Anthropic is freshly funded with $100 million from SK Telecom to co-develop a multilingual large language model customized for global telco firms. What makes Anthropic stand out? ☝️A staunch focus on "constitutional AI," an Anthropic-developed method for aligning general-purpose LLMs to abide by high-level normative principles written into a constitution. This constitution takes inspiration from outside sources like the United Nations Universal Declaration of Human Rights, as well as Anthropic's own firsthand experience interacting with language models to make them more helpful and harmless. Then there is ElevenLabs, stepping into the "unicorn" territory with a valuation soaring past $1 billion after securing $80 million. They're developing AI-powered tools to create and edit synthetic voices for producing audiobooks, dubbing films, and TV shows, and crafting character voices for gaming and marketing initiatives. What makes ElevenLabs stand out? ☝️ It poses the existential threat to the voice acting industry, and its publicity hasn't been totally positive. So, what do you think: is AI paving the way for a brighter future or raising concerns about the ethical implications and potential job displacement?