Meta releases another open source model for text to audio

🥽 3 TRENDS

Meta finally releases AudioCraft and the text to audio tool is creating some buzz. (link)

AudioCraft, a new framework created by Meta, has been introduced to generate high-quality and realistic audio and music from text-based user inputs, eliminating the need for traditional methods like MIDI or piano rolls.

The AudioCraft family consists of three models: MusicGen, AudioGen, and EnCodec, capable of generating music, environmental sounds, and sound effects, and it has been made available for research purposes to encourage further development.

This is a groundbreaking framework that generates high-quality and realistic audio and music from text-based inputs, transforming the way professional musicians, game developers, and small businesses can create sound.

By democratizing audio generation and offering a simpler approach compared to traditional methods, it opens up nearly limitless possibilities for innovation and creativity, making it an essential advancement in the field of generative AI models.

AI startups go to battle against the powerful incumbets (link)

Summer 2023 is a pivotal time for AI, marked by viral demos and fierce competition, especially in the application layer where AI products reach end users.

The excitement around AI is fueled by a generational platform shift, likened to the advent of cloud computing and the internet, making the stakes high for both new and established companies.

The democratization of AI has commoditized the technology, transforming it from an early differentiator to a requirement for competitiveness.

While startups may be faster in innovating, incumbents hold a valuable advantage in distribution, allowing them to aggressively market commoditized AI technology to their established customer base, thereby challenging startups in the market.

What’s going on with StackOverflow’s traffic and why developers are staying away. (link)

The decline of traditional forums like StackOverflow in the face of AI-driven tools such as Copilot and ChatGPT is more than a trend; it's a fundamental shift in how developers seek information and knowledge.

Banning AI-generated content, as StackOverflow has done, is not a solution but a refusal to adapt to the new digital landscape.

Embracing collaboration between human and AI-generated content can foster a more inclusive and efficient environment for learning and problem-solving.

Rather than resisting this inevitable change, we must seek innovative ways to integrate AI into our existing systems to get the most out of this technological advancement.

🛠️ 2 TOOLS

 FOR THE VIDEO EDITOR

Riverside.fm release Magic Clips to make it easier to create short format video from your podcast footage. (link)

Riverside has introduced a new feature called Magic Clips that uses AI to identify the best moments in a recording and turn them into social clips with just one click.

The feature was announced on July 25, 2023, and has generated excitement among the Riverside community as it has the potential to save creators and podcasters hours of editing time making content creation more efficient and streamlined.

It takes some experimentation and requires a little editing and fine tuning once the results are complete but its worth the time.

 FOR THE CS PRO

Humanlike makes it eady to set up human sounding chatbots to streamline customer support. (link)

The AI call center agents for the enterprise are voice bots that sound and act like humans, making them an efficient and cost-effective solution for businesses.

With the ability to automate voice and chat operations, these bots can handle a large volume of customer inquiries and support requests, freeing up human agents to focus on more complex tasks.

The use of AI call center agents can improve customer experience, reduce wait times, and increase overall efficiency.

It’s worth hitting the link above and watching the demo video of a human putting the food ordering chat bot to the test, to see the potential for this type of technology.

💡 1 TAKE AWAY

Easy tips to building a great prompt library for your team.

Prompt engineering has become a crucial skill to have in an organization when using AI.

Sharing effective prompts among team members is critical to keeping a consistent and efficient AI workflow.

To begin with what is a prompt library and why should my team build one for internal use?

A Prompt Library is a collection of vetted prompts that you, your team, and your business use.

It helps you monitor and manage a set of prompts that your team relies on over time. This ensures that any improvements or issues with the prompts are communicated and addressed promptly.

By using a Prompt Library, businesses can maintain consistency in their prompts and improve their overall customer experience.

Here are 3 key tips for building a great prompt library

1. Tagging: An easy-to-follow tagging system is essential for identifying the tasks or business objectives that different prompts are designed to solve.
   

2. Versioning: is necessary to track the improvements made to prompts over time.
   

3. Status: A status feature is crucial for marking when a prompt is broken, allowing someone on the team to fix it promptly.

A Prompt Library is a must have for internal teams as it provides a centralized and organized system for managing prompts.

This can help teams accelerate their output and also identify areas for improvement and track the success of their prompt strategies over time.

As LLM’s change and adjust, understanding what prompts work and which ones have gone stale is critical in keeping your content output on message and relavent.