Main topic: The demand for AI-related services is increasing, creating new job opportunities for freelancers.
Key points:
1. AI consultants are in high demand, helping companies implement AI solutions and guiding them through AI projects.
2. AI video editors use AI tools to enhance videos and offer services such as audio and visual enhancement, background customization, and AI-generated voiceovers.
3. Prompt engineers tailor prompts for AI tools like ChatGPT to create compelling content, such as blogs and articles.
Note: The original text provided more than three key points. The response has been condensed for conciseness.
### Summary
Utah Tech University is offering a free weekly community course on generative artificial intelligence (AI), providing participants with the skills and knowledge necessary to create using generative AI.
### Facts
- 👥 The course is open to everyone, including those new to AI or coding.
- 📆 The course will be held every Wednesday from August 30 to December 6, 2023, from noon to 12:45 p.m.
- 🏫 The course will take place in Room 105 of Utah Tech's Science, Engineering & Technology building.
- 💡 The course will focus on generative AI, large language models, and prompt engineering.
- 🌐 Generative AI can be used to create art, music, videos, and more.
- 👨🏫 Expert instructors will guide participants through hands-on exercises to help them kickstart their own generative creations.
- 🔌 The course aligns with Utah Tech University's polytechnic approach to education, emphasizing hands-on learning and career preparation.
- 🔒 Seating for the course is limited.
Source: St. George News, SaintGeorgeUtah.com LLC
### Summary
Utah Tech University will be offering free weekly community courses on generative artificial intelligence, discussing the opportunities AI provides and teaching prompt engineering to unlock its power.
### Facts
- 📅 The class will start on Aug. 30 and run every Wednesday until Dec. 6.
- 🧑🏫 The instructor, Konnor Young, believes generative AI can empower individuals in their education.
- 💡 Generative AI creates original content by learning patterns from data, unlocking new possibilities in art, music, and videos.
- 🔬 The class will focus on open-forum discussions about generative AI, large language models, and prompt engineering.
- 🤝 Participants will have hands-on exercises to develop skills and knowledge for generative creations.
- 🎨🚀 The technology can be harnessed in various disciplines, from art and humanities to science, technology, and engineering.
The role of AI engineer is expected to grow the most in the near term due to the increased use of large language models (LLMs) and generative AI, surpassing other job roles such as ML engineer, MLOps engineer, data engineer, and full stack engineer.
Over half of participants using AI at work experienced a 30% increase in productivity, and there are beginner-friendly ways to integrate generative AI into existing tools such as GrammarlyGo, Slack apps like DailyBot and Felix, and Canva's AI-powered design tools.
Generative AI models like ChatGPT are expected to augment job roles rather than replace them, according to an IBM study, with executives estimating that 40% of their workforce will need to reskill in the next three years due to AI implementation. The study also found that tech adopters who successfully reskill experience a 15% revenue growth rate premium on average and a 36% higher revenue growth rate for those focusing on AI. The new skill paradigm prioritizes people skills like team management and effective communication.
Companies are adopting Generative AI technologies, such as Copilots, Assistants, and Chatbots, but many HR and IT professionals are still figuring out how these technologies work and how to implement them effectively. Despite the excitement and potential, the market for Gen AI is still young and vendors are still developing solutions.
Generative artificial intelligence (AI) technology is infiltrating higher education, undermining students' personal development of critical thinking skills and eroding the integrity of academic work, with educators struggling to combat its influence.
Generative AI, like ChatGPT, has the potential to revolutionize debates and interviews by leveling the field and focusing on content rather than debating skills or speaking ability.
Recent advancements in generative AI have led to the development of text-to-image models that can create highly realistic images using text prompts, but refining these models to generate specific content can be challenging; however, researchers have introduced an image prompt adapter called IP-Adapter that improves the controllability and compatibility of these models.
Prompt engineering and the use of Large Language Models (LLMs), such as GPT and PaLM, have gained popularity in artificial intelligence (AI). The Chain-of-Thought (CoT) method improves LLMs by providing intermediate steps of deliberation in addition to the task's description, and the recent Graph of Thoughts (GoT) framework allows LLMs to generate and handle data more flexibly, leading to improved performance across multiple tasks.
Prompt engineering, the skill of using natural language to extract useful content from AI models, is not as straightforward as it seems, with limited job opportunities and the need for both domain experts and technical experts in the field.
The surge in generative AI technology is revitalizing the tech industry, attracting significant venture capital funding and leading to job growth in the field.
Generative AI tools like ChatGPT could potentially change the nature of certain jobs, breaking them down into smaller, less skilled roles and potentially leading to job degradation and lower pay, while also creating new job opportunities. The impact of generative AI on the workforce is uncertain, but it is important for workers to advocate for better conditions and be prepared for potential changes.
Generative AI, a technology with the potential to significantly boost productivity and add trillions of dollars to the global economy, is still in the early stages of adoption and widespread use at many companies is still years away due to concerns about data security, accuracy, and economic implications.
Generative AI tools are revolutionizing the creator economy by speeding up work, automating routine tasks, enabling efficient research, facilitating language translation, and teaching creators new skills.
Generative AI will become a crucial aspect of software engineering leadership, with over half of all software engineering leader role descriptions expected to explicitly require oversight of generative AI by 2025, according to analysts at Gartner. This expansion of responsibility will include team management, talent management, business development, ethics enforcement, and AI governance.
Generative artificial intelligence, particularly large language models, has the potential to revolutionize various industries and add trillions of dollars of value to the global economy, according to experts, as Chinese companies invest in developing their own AI models and promoting their commercial use.
Generative AI tools are causing concerns in the tech industry as they produce unreliable and low-quality content on the web, leading to issues of authorship, incorrect information, and potential information crisis.
Generative AI is increasingly being used in marketing, with 73% of marketing professionals already utilizing it to create text, images, videos, and other content, offering benefits such as improved performance, creative variations, cost-effectiveness, and faster creative cycles. Marketers need to embrace generative AI or risk falling behind their competitors, as it revolutionizes various aspects of marketing creatives. While AI will enhance efficiency, humans will still be needed for strategic direction and quality control.
Generative AI tools like Bing Chat, Quizlet, ChatPDF, Duolingo, and Socratic have the potential to greatly enhance student learning by providing assistance with tasks such as research, studying, reading PDFs, learning new languages, and answering questions in a conversational and educational manner.
Generative AI is being explored for augmenting infrastructure as code tools, with developers considering using AI models to analyze IT through logfiles and potentially recommend infrastructure recipes needed to execute code. However, building complex AI tools like interactive tutors is harder and more expensive, and securing funding for big AI investments can be challenging.
Generative artificial intelligence, such as ChatGPT, is increasingly being used by students and professors in education, with some finding it helpful for tasks like outlining papers, while others are concerned about the potential for cheating and the quality of AI-generated responses.
As generative AI continues to gain attention and interest, business leaders must also focus on other areas of artificial intelligence, machine learning, and automation to effectively lead and adapt to new challenges and opportunities.
Generative AI has the potential to understand and learn the language of nature, enabling scientific advancements such as predicting dangerous virus variants and extreme weather events, according to Anima Anandkumar, Bren Professor at Caltech and senior director of AI research at NVIDIA.
Conversational AI and generative AI are two branches of AI with distinct differences and capabilities, but they can also work together to shape the digital landscape by enabling more natural interactions and creating new content.
Generative AI is empowering fraudsters with sophisticated new tools, enabling them to produce convincing scam texts, clone voices, and manipulate videos, posing serious threats to individuals and businesses.
Generative AI is a form of artificial intelligence that can create various forms of content, such as images, text, music, and virtual worlds, by learning patterns and rules from existing data, and its emergence raises ethical questions regarding authenticity, intellectual property, and job displacement.
Toyota Research Institute (TRI) has used generative AI to teach robots how to perform individual tasks needed to make breakfast by giving them a sense of touch and plugging them into an AI model, enabling them to "learn" and carry out tasks in a matter of hours.
Generative AI is expected to have a significant impact on jobs, with some roles benefiting from enhanced job quality and growth, while others face disruption and a shift in required skills, according to a report from the World Economic Forum. The integration of AI into the workforce brings mixed reactions but emphasizes the need for proactive measures to maximize benefits and minimize risks. Additionally, the report highlights the importance of a balanced workforce that values both technical AI skills and people skills for future success.
Big Tech companies like Google, Amazon, and Microsoft are pushing generative AI assistants for their products and services, but it remains to be seen if consumers will actually use and adopt these tools, as previous intelligent assistants have not gained widespread adoption or usefulness. The companies are selling the idea that generative AI is amazing and will greatly improve our lives, but there are still concerns about trust, reliability, and real-world applications of these assistants.
Microsoft and Google have introduced generative AI tools for the workplace, showing that the technology is most useful in enterprise first before broader consumer adoption, with features such as text generators, meeting summarizers, and email assistants.
Generative chatbots like ChatGPT have the potential to enhance learning but raise concerns about plagiarism, cheating, biases, and privacy, requiring fact-checking and careful use. Stakeholders should approach AI with curiosity, promote AI literacy, and proactively engage in discussions about its use in education.
Generative AI, fueled by big tech investment, will continue to advance in 2024 with bigger models, increased use in design and video creation, and the rise of multi-modal capabilities, while also raising concerns about electoral interference, prompting the demand for prompt engineers, and integrating into apps and education.
Generative AI is an emerging technology that is gaining attention and investment, with the potential to impact nonroutine analytical work and creative tasks in the workplace, though there is still much debate and experimentation taking place in this field.
Generative AI, such as ChatGPT, is evolving to incorporate multi-modality, fusing text, images, sounds, and more to create richer and more capable programs that can collaborate with teams and contribute to continuous learning and robotics, prompting an arms race among tech giants like Microsoft and Google.
Generative AI is expected to have a significant impact on the labor market, automating tasks and revolutionizing data analysis, with projected economic implications of $4.1 trillion and potentially benefiting AI-related stocks and software companies.
Generative AI has the potential to transform various industries by revolutionizing enterprise knowledge sharing, simplifying finance operations, assisting small businesses, enhancing retail experiences, and improving travel planning.
AI tools like ChatGPT are becoming increasingly popular for managing and summarizing vast amounts of information, but they also have the potential to shape how we think and what information is perpetuated, raising concerns about bias and misinformation. While generative AI has the potential to revolutionize society, it is essential to develop AI literacy, encourage critical thinking, and maintain human autonomy to ensure these tools help us create the future we desire.
Generative AI is revolutionizing the professional landscape by automating tasks, but senior professionals without tech skills can still excel by leveraging their expertise and experience, as AI cannot replicate their firsthand encounters and interactions.
Companies are focusing on learning how to effectively deploy AI tools, realizing that poorly crafted prompts and unspecialized models can lead to inaccuracies and inefficiencies, with some firms creating prompt libraries and in-house models to improve AI output. Specialist fine-tuning and the use of libraries of embeddings are becoming crucial for companies to personalize AI models and achieve better outcomes. While some believe the importance of prompts will decrease as AI becomes more intelligent, others argue that engineered prompts will still be needed for irregular tasks.
Generative AI has the potential to inspire engineering design by expanding the range of design options and facilitating collaboration, though the outcomes are often unpredictable and difficult to control. However, co-creating with AI can lead to new directions and creative thinking in engineering design.
Gen AI, or generative artificial intelligence, is rapidly transforming the manufacturing industry through automation and predictive maintenance, potentially threatening both white-collar and blue-collar jobs.
Generative AI is being integrated with DevOps systems to predict and prevent application failure, providing developers with suggestions on how to fix potential issues and automate problem-solving tasks.
Generative artificial intelligence (AI) is a subset of AI that uses machine learning to generate new data, designs, or models based on existing data, offering streamlined processes and valuable insights for various engineering disciplines.
