The Weekly Bash - Edition 1

Suggested questions:

I’m a marketing manager, how can I use Canva’s new AI tools?
How can I improve reliability and trust-worthiness of AI responses?
What can generative AI help with?

Sources:

Why you can't trust ChatGPT

Do Language Models Dream of Electric Sheep? Retrieval Augmented Generation and Its Significance The challenge of trust in implementing AI is a major obstacle to its widespread use. While AI has advanced, it still faces limitations and the issue of generating false or misleading information, referred to as "hallucinations." This poses problems in knowledge-based work where precision is crucial. Tools like ChatGPT can generate responses, but it is difficult to determine their accuracy without external verification. To overcome this, retrieval augmented generation (RAG) is an AI framework that incorporates external knowledge to improve reliability. By providing specific information, RAG generates responses based on accurate data, increasing trust and efficiency. Bash simplifies the adoption of RAG, allowing users to control the output and instill confidence in the AI process. **Key takeaways:** 1. AI faces limitations in reliability and accuracy, particularly in knowledge-based work. 2. Hallucinations, or false/misleading information, can be generated by AI systems like ChatGPT. 3. Retrieval augmented generation (RAG) incorporates external knowledge to improve AI reliability. 4. RAG allows users to provide specific information for generating accurate responses. 5. Bash simplifies the adoption of RAG, empowering users to control the AI output.

AI Disruption: Beyond Big Tech

Artificial intelligence (AI) is fueling a new push in technology, disrupting industries and enhancing productivity. Large Language Models (LLMs) like ChatGPT are incredibly helpful in finding and summarizing information, saving valuable time. LLMs also aid in writing and editing, improving the quality of documents. In the world of coding, LLMs serve as knowledgeable companions, suggesting code snippets and optimizing algorithms. Additionally, LLMs automate repetitive tasks, freeing up employees to focus on more complex work. However, while some groups benefit from these productivity enhancements, others may risk being left behind. Companies in various industries can benefit from AI, not just big tech companies. It is crucial for businesses to recognize technological changes and help employees adapt. **Key takeaways** - Artificial Intelligence (AI) is disrupting industries and enhancing productivity. - Large Language Models (LLMs) can quickly find and summarize information, improve writing and editing, and aid in coding. - LLMs automate repetitive tasks, freeing up employees' time for more complex work. - Productivity enhancements can lead to different outcomes for different groups, requiring businesses to help their employees adapt. - AI presents opportunities for companies in various industries, not just big tech companies, but slow adopters may be at risk.

LinkedIn Introduces AI-Powered Products for Businesses

LinkedIn has unveiled new AI-powered tools to enhance productivity in recruiting and marketing. The tools include Recruiter 2024, which utilizes generative AI to expedite candidate selection; LinkedIn Learning AI-powered Coaching Experience, an AI chatbot that provides personalized coaching and content recommendations for learning and development; and Accelerate for Campaign Manager, which offers automatic campaign recommendations and optimizations. Last week, the company also introduced AI features for its sales product, Sales Navigator, to improve lead prospecting and account research. AI is gaining prominence in the workplace, with mentions of AI in job posts doubling in the last two years.

AI for design work

Canva's Magic Media app is a new favorite for design enthusiasts, offering various styles and prompt customization options. Educators can enjoy a free Canva for Education (Pro) account. Formative AI allows educators to generate lessons, assignments, assessments, and track student progress. SlidesAI is an AI tool for Google Slides that generates slides based on customized text and themes. Microsoft's Speaker Coach helps enhance presentation skills with feedback on pacing, pitch, and more. Bored Humans offers a collection of over 100 AI tools, including a lyrics generator and other options for lesson planning.

A Gentle Introduction To Generative AI For Beginners

Generative AI is a subfield of AI that involves creating algorithms to generate new data, such as images, text, code, and music. It differs from traditional AI, which focuses on making predictions or classifications on existing data. Generative AI can work with different types of data and is capable of creating new data based on patterns learned from the training data. In this article, we will explore the basics of generative AI, specifically focusing on Large Language Models and Image Generation Models. Whether you are new to the topic or looking to expand your understanding, this article will provide a concise and clear explanation of generative AI. **Key takeaways** - Generative AI involves creating algorithms to generate new data. - It differs from traditional AI, which focuses on making predictions or classifications. - Generative AI can work with different types of data. - Large Language Models and Image Generation Models are two key areas of generative AI. - This article provides a concise and clear explanation of generative AI.

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