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Here's what we've got in store for you today:

 📰 The Democratization of Content Creation

♟️ Computational Power Needed to Run LLM's is Shrinking

💡 ChatGPT's Success Prompts Reevaluation of Machine Capabilities

🎥  Videos Of The Day

🛠 Tools Of The Day

The Democratization of Content Creation: How Generative AI is Changing the Game

Generative AI is poised to shake up the world of video platforms like Netflix, TikTok, and YouTube. These platforms have been successful in identifying engaging content and matching it to the right audience, but they face challenges in extracting useful, precise features and overcoming barriers to content creation.

Generative AI has the potential to solve these challenges by democratizing content creation and leveling the playing field for creators. By guiding creators on what drives engagement and showing relevant content to viewers, generative AI-driven platforms can increase the value creators can create outside the firm. This reduces barriers and enables creators to increase their profitability.

However, there are also risks associated with generative AI, such as unlicensed deep fakes and false information. Therefore, ethical considerations will need to be taken into account as generative AI becomes more prevalent in content creation.

In the future, generative AI may power new video content platforms that supersede or at least supplement the current incarnations of Netflix, YouTube, and TikTok. As with any technological advancement, there are risks and uncertainties, but the possibilities for creative industries are vast.

Key Takeaways:

• Generative AI has the potential to democratize content creation and level the playing field for creators.

• Generative AI-driven platforms can increase the value creators can create outside the firm, reducing barriers and enabling creators to increase their profitability.

• Ethical considerations will need to be taken into account as generative AI becomes more prevalent in content creation.

• Generative AI may power new video content platforms that supersede or supplement current platforms.

Source: https://hbr.org/2023/03/how-will-generative-ai-disrupt-video-platforms

Researchers Shrink Computational Power Needed to Match GPT-3.5 Performance

The academic community has announced the release of a new instruction-following language model called Alpaca. This model has been fine-tuned to address some of the pressing problems in the field, such as generating false information, spreading social stereotypes, and producing toxic language. Despite the widespread use of instruction-following models like GPT-3.5 and ChatGPT, they still have limitations, and research has been challenging due to the lack of open-source models that can match the capabilities of closed-source models like OpenAI's text-davinci-003.

Here are the key takeaways from this news:

• Alpaca is a new instruction-following language model that has been fine-tuned to address some of the limitations of existing models.

• It has been trained on 52K instruction-following demonstrations generated from OpenAI's text-davinci-003 and exhibits behaviors similar to that model.

• Alpaca is smaller and easier to reproduce than other instruction-following models, but it is for academic research only, and commercial use is prohibited.

• The model has been evaluated and found to perform comparably to text-davinci-003, but it is subject to common deficiencies of language models such as hallucination, toxicity, and stereotypes.

• To mitigate these limitations, the researchers have implemented risk mitigation strategies such as a content filter and watermarking all model outputs.

• The release of Alpaca is a step towards better instruction-following models that align with human values, and further research and evaluation are needed to improve their safety and reliability.

While Alpaca is not yet ready for general use, it holds promise for future advancements in instruction-following language models that could benefit various industries and sectors.

Source: https://crfm.stanford.edu/2023/03/13/alpaca.html

Beyond Human Intelligence: ChatGPT's Success Prompts Reevaluation of Machine Capabilities

ChatGPT has taken the world by storm since its launch last November. Users are utilizing the platform for a wide range of purposes, from writing essays and computer code to crafting poetry and research proposals. Even planning vacations, flirting with Tinder matches, and creating malware is on the menu.

UC Berkeley computer scientist Ken Goldberg believes that ChatGPT's facility with natural language is forcing AI experts to reconsider what machines may be capable of, and even our understanding of intelligence. Goldberg suggests that ChatGPT could bring about a paradigm shift in the field. Seven of the world's leading AI experts will address these questions head-on in a series of public lectures at UC Berkeley this spring.

The lecture series will cover the program's evolution and the ethical and societal implications of new AI technology. It will also consider how humans might coexist alongside ever more intelligent machines. The lectures will feature John Schulman, a co-founder of OpenAI and the primary architect of ChatGPT, as well as five leading AI faculty members from UC Berkeley.To read more about this story and to follow the public lectures and their times/ dates visit: https://news.berkeley.edu/2023/03/10/ai-lectures-at-berkeley-to-explore-possibilities-implications-of-chatgpt/

 📼 Videos Of The Day 📼

Midjourney V5 Coming Soon!

Nerdy Prompt Engineering Stuff

  🛠️ Tools Of The Day 🛠️

Prezo- Make stunning presentations with AI

Validly - Validate product decisions through user interviews with the help of AI.

Mottle - Build a chatbot just using a txt. file.

Jounce - Free AI-powered copywriting and artwork for marketers.

Kanaries - an automated data exploration tool that can help you automate discovery patterns and insights and generate charts and dashboards

Piggy - creating stunning content on your phone made easy.

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