Top 10 Generative AI Skills 👩🏼‍💻

☕️ Greetings! It's Monday, October 2nd. Welcome back to my daily dive into the AI landscape.

Here are the top 10 generative AI skills that organizations are seeking today, according to Upwork:

1. ChatGPT: Mastery of ChatGPT for content generation, task automation, translation, and more, driving innovation across industries.

2. Natural Language Processing (NLP): Expertise in NLP for creating seamless, human-like interactions with AI systems.

3. TensorFlow: Proficiency in TensorFlow, Google's machine learning framework, for building and training advanced AI models.

4. Image Processing: Skill in AI-driven image analysis and data extraction, with applications in healthcare and beyond.

5. PyTorch: Mastery of PyTorch, an agile framework for developing deep neural networks and NLP applications.

6. AI Content Creation: Ability to prompt generative AI engines and refine AI-generated content for human resonance.

7. Midjourney: Competence in Midjourney, a creative generative AI service for image generation and custom ads.

8. AI Chatbot: Expertise in chatbot testing, deployment, integration, and maintenance, streamlining customer interactions.

9. Model Tuning: Skill in optimizing machine learning models through parameter adjustments for enhanced performance.

10. Stable Diffusion: Proficiency in Stable Diffusion for high-quality artwork and image generation based on user prompts.

Source: Upwork

🗞️ Today’s Highlights:

• LATEST NEWS & TRENDS — How generative AI is placing CFOs at the forefront of company strategy

• INDUSTRY | FUNCTION — How Generative AI is Changing the Industrial Sector

• RESOURCES — Paris-based Mistral releases first generative AI model — and it’s totally free

• WORK — The Indispensability of Prompt Engineering in the Age of AI

• AI TOOLS — Bespoke: Generate a custom podcast that fits perfectly into your day, in one click.

• CHARTS — South Africa and Artificial Intelligence

🗞️ LATEST NEWS & TRENDS

1️⃣ At Workday Rising, discussions with Erik Brynjolfsson and Ankur Agrawal highlighted the transformative potential of generative AI for CFOs, extending their roles beyond finance into strategic tech-led realms. Generative AI enables better data utilization, aiding informed decision-making. Agrawal emphasized the CFOs' evolving role, driven by digital advancements, while Brynjolfsson suggested evaluating generative AI's impact on various organizational tasks to identify lucrative opportunities, advocating for employee engagement in exploring AI applications, underscoring AI's role as an augmentative tool, not a replacement.

Reference: (How generative AI is placing CFOs at the forefront of company strategy)

2️⃣ OpenAI, valued at $29 billion, contemplates share sales to escalate its valuation to around $80-$90 billion, reports the Wall Street Journal. This initiative allows employees to sell their shares. Following a $300 million funding in April and a significant investment by Microsoft, OpenAI has seen immense success with its AI assistant, ChatGPT. The firm, 49% owned by Microsoft, projects a revenue of $1 billion in 2023, symbolizing robust financial outlook and technological advancements.

Reference: (OpenAI could see its secondary-market valuation soar to $90B)

3️⃣ Researchers utilized GPT-4 in a Socratic Method to explore the P vs NP problem, aiming to prove P ≠ NP. Through structured dialogue, they led GPT-4 to provide insightful responses. Although their efforts spotlight GPT-4's potential in addressing complex issues, the acceptance and impact of their findings within the scientific community remain to be seen.

Reference: (Can generative AI solve computer science's greatest unsolved problem?)

4️⃣ Silicon Valley's AI scandal unveils pirated ebook dataset, Books3, utilized in training generative AI, angering globally renowned authors including those from Australia. Lack of transparency has authors outraged over unauthorized use of their works. The Books3 creator aimed to level the playing field against tech giants, yet this cavalier approach to intellectual property sparks legal and ethical debates, while tech giants claim "fair use". The concern extends to potential market saturation with AI-generated content, threatening authors' livelihoods and literary quality.

Reference: (Australian authors' works feature in Books3 dataset of pirated ebooks used to train generative AI)

5️⃣ Bumble CEO, Whitney Wolfe Herd, at the Code Conference, emphasized leveraging AI to enhance user matching and online dating experiences while staying clear of creating virtual partners. She highlighted the existing AI-driven matching algorithms and envisioned AI as a digital matchmaker, personalizing user interactions and potentially boosting Bumble's revenue by offering a premium, curated dating experience. Through AI, she aims to address user pain points, enhance compatibility assessment, and facilitate date arrangements, underscoring a fascinating interplay between AI and human connection.

Reference: (Bumble CEO Whitney Wolfe Herd shares how AI will ‘supercharge’ love with digital matchmakers)

🗞️ INDUSTRY | FUNCTION

Generative AI is poised to significantly enhance industrial operations by automating manual tasks, optimizing production and supply chain management, and fostering predictive maintenance. It's pivotal in addressing current industrial challenges like talent scarcity and sustainability needs, enabling cost reductions and operational efficiency. By converting text into actionable code, improving robotics, and ensuring real-time quality control, generative AI is not just a technological upgrade, but a catalyst for Industry 4.0.

Reference: (How Generative AI is Changing the Industrial Sector)

🗞️ RESOURCES

Europe's startup Mistral unveils its first model, Mistral 7B, optimized for low latency and various text operations, under an open-source license to bolster sustainable AI business solutions. Targeting business clients, Mistral is committed to releasing robust open models alongside its commercial offerings. Despite lacking a user-friendly interface, the model is accessible via download, with support through a Discord channel. Notably, Mistral 7B's performance showcases the potential of smaller models, challenging larger counterparts with less computational power.

Reference: (Paris-based Mistral releases first generative AI model — and it’s totally free)

Video credit: Prompt Engineering (Mistral 7B - Small But Mighty)

🗞️ WORK

Prompt engineering is pivotal for harnessing the efficacy of large language models (LLMs), evolving alongside AI innovations to facilitate improved human-AI dialogues and automated operations. This enduring skill is quintessential for fostering nuanced and safe AI engagements and is set to mitigate the communication chasm as AI pervades diverse domains. With the escalation in AI capabilities and applications, mastering prompt engineering unveils substantial value, mirroring the way software engineering capitalized on the capabilities of computers.

Reference: (The Indispensability of Prompt Engineering in the Age of AI)

🗞️ AI TOOLS

🧰 BrainTrustData : Braintrust is the enterprise-grade stack for building AI products. From evaluations, to prompt playground, to data management, we take uncertainty and tedium out of incorporating AI into your business.

🧰 AnyScale: Ray is the most popular open source framework for scaling and productionizing AI workloads. From Generative AI and LLMs to computer vision, Ray powers the world’s most ambitious AI workloads.

🧰 Bespoke: Generate a custom podcast that fits perfectly into your day, in one click.

🧰 Carbon: Connect external data to LLMs, no matter the source.

🧰 WizWrite: Speaking gives your thoughts clarity. Using your voice to interact with AI unlocks super powers. Wiz Write is your productivity cheat code.

Disclaimer: 1) The tool descriptions are from the company behind each tool/app. 2) Please read the site details thoroughly before using and/or acquiring any of the tools listed above. We have not tested these tools and we will not be liable for anything.

🗞️ CHARTS

 👀 South Africa and AI

Generative AI, notably showcased through ChatGPT, holds transformative potential for South Africa across healthcare, education, financial inclusion, and agriculture by leveraging data-driven insights to address societal issues. While fostering financial accessibility and enhancing educational and healthcare outcomes, it also promises optimized agricultural practices. However, its adoption necessitates vigilant risk assessment, robust legal frameworks, workforce enablement, public-private collaborations, and substantial financial and technological infrastructure investments to ensure equitable benefits and mitigate job displacement risks amidst South Africa's high unemployment scenario.

Reference/Source: Boston Consulting (South Africa and Artificial Intelligence)

Disclaimer: The audio-visual content is courtesy of the source provided above.

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_{I'm not a newsletter expert so you might find my approach a tad different. In my daily dives into the world of AI, I handpick the latest gems, initially to support the AI projects that I’m working on. Realizing that these snippets might resonate with others, I thought, "Why not share this with my community and fellow AI enthusiasts?" I truly want this newsletter to be valuable to you so if there's anything on your mind—praises, critiques, or just a hello—please drop me a note. You can hit reply or shoot me a message directly at my email address: [email protected].}