ChatGPT invades Slack | Businesses face risks using AI
We've got the latest on how businesses are using AI tools like ChatGPT to improve productivity, including Salesforce's new ChatGPT app for Slack. But with the benefits come potential risks, as experts warn of the need to use AI as a "thought partner" rather than a creator. Content creators can also embrace AI, as Grammarly launches a new generative AI tool called Grammarly Go. Read on for four tips on how to get started with AI and embrace the opportunity to disrupt your industry.
🗯️ ChatGPT invades Slack chats
✅ Tips for content creators in the dawn of AI
⚠️ The risks businesses face using AI tools
▶️ Video on how to use AI to run your online business
⚡botified buzz
ChatGPT will soon invade your Slack chats
Salesforce has announced that it is partnering with OpenAI to launch an official ChatGPT app for Slack. The app will integrate ChatGPT’s AI technology to deliver instant conversation summaries, research tools, and writing assistance directly in Slack, aiming to improve productivity. The ChatGPT add-on will use data from Slack’s archives and the data used to train the chatbot, without using customers’ data to train its language model. The app is currently in beta testing, and companies can apply for the final version on the OpenAI website.
4 Tips For Content Creators In The Dawn Of AI
ChatGPT, the most well-known AI platform, is already being used for a variety of purposes including writing term papers and email copy. Despite concerns around AI disrupting content creation, there are opportunities to embrace AI technology. This article provides four tips for content creators to get started on their AI journey, emphasizing the need to recognize industry disruption as an opportunity.
Businesses Use AI Tools Despite Risks
American businesses, including Mattel, CarMax, and Coca-Cola, are using AI tools such as DALL-E and ChatGPT for product development, customer feedback, and marketing. However, experts warn of potential harms to customers, society, and copyright laws. While AI can speed up office work, it should be used as a “thought partner” rather than a creator. Microsoft, Amazon, and Google are investing heavily in AI tools to stay competitive.
Grammarly Go and the coming wave of generative AI productivity
Grammarly has launched a new generative AI tool called Grammarly Go, which uses ChatGPT to help users write emails and generate content. It prompts users with questions about tone and content, and then uses the responses to write custom content. The tool can also help users overcome writer’s block by offering suggestions for topics to cover. This is just the beginning of generative AI, which is set to revolutionize the way we work, but there are legal and ethical issues to consider.
🌟 botified business
Using the Business Idea Generator, you can unleash your creativity and generate business ideas within your chosen industry. Simply select from the many industries available, including Accounting, Advertising, Agriculture, Architecture, Automotive, Banking, Beauty, Construction, Consulting, Education, Energy, Entertainment, Finance, Fitness, Food, Gambling, Gaming, Government, Healthcare, Hospitality, Insurance, Legal, Manufacturing, Marketing, Media, Mining, Non-Profit, Pharmaceutical, Real Estate, Recruiting, Retail, Technology, Telecommunications, Transportation, Travel, Utilities, Veterinary, Warehousing, Web Design, or Writing, to kick-start your journey to a great business concept.
🤖botified bits
Large language model tip of the day:
Use feedback: Providing feedback to a large language model can help it improve its performance over time. By evaluating the model’s responses and providing feedback on areas where it could improve, you can help it learn and adapt to generate better responses in the future. This can be especially useful when working with large language models that are being used in real-world applications, where ongoing feedback and improvement are critical.
Prompt: “Generate a list of recommended books based on a user’s reading history.”
Feedback: Evaluate the quality of the book recommendations generated by the large language model, and provide feedback on any inaccuracies, biases, or gaps in the recommendations. Use this feedback to retrain the model on a larger and more diverse dataset of books and reading histories, and continue to monitor and evaluate its performance over time.
Prompt: “Write a chatbot that can answer customer service inquiries.”
Feedback: Test the chatbot on a variety of customer service inquiries and evaluate its responses for accuracy, helpfulness, and tone. Use this feedback to fine-tune the chatbot’s responses and improve its ability to handle complex and nuanced inquiries. Continuously monitor and evaluate the chatbot’s performance, and provide ongoing feedback to help it learn and adapt to new situations and scenarios.
▶️botified vids
How to Use A.I. to Run Your Online Business
Check out Simon Høiberg‘s YouTube channel for some great videos around product development, side hustles, productivity, and SaaS.
In this video, Simon cuts through the hype and gives some practical ideas on how to truly leverage AI for your business to be more productive and generate revenue.
🔤botified basics
Today’s AI terminology:
Edge Computing and AI: Processing and storage of data closer to the source, rather than in a centralized data center. For example, an autonomous car could use edge computing and AI to make quick decisions on the road, without relying on a centralized server that could introduce latency and network connectivity issues.
🎨ai language models generating random ai art
Daily, we instruct the AI to generate a random prompt to give to the MidJourney AI image generator. The results are beautiful.
LLM Prompt: A colorful and whimsical image of a hot air balloon floating in the sky, with vibrant colors and patterns on the balloon and a scenic landscape below. The passengers could be dressed in quirky outfits or costumes, adding to the whimsical feel.
MidJourney’s Image:
