92% of ChatGPT prompt helpers use AI.
The problem with this approach?
AI has to make assumptions about your boundaries, focus, etc.
Prompti already gives the inputs you need for a whole & detailed prompt.
For 110+ prompts, for free.
Download @ https://t.co/fpCjEkezva
ChatGPT is old news.
In 5 years, every large scale tech company will have their own language model. They are more private, accurate, and efficient.
I had the incredible pleasure of meeting with @hanlintang, founder of @MosaicML, and learning the numerous benefits of these unique models.
Here is why AI model development will be a game changer for organizations.
1️⃣ Enhanced Contextual Understanding:
Company-specific language models can be fine-tuned to comprehend the intricacies of industry-specific jargon, acronyms, and terminologies. This ensures accurate and contextual understanding of business-related conversations, resulting in improved productivity and communication.
2️⃣ Increased Efficiency:
By leveraging company-specific language models, organizations can automate repetitive tasks like drafting emails, generating reports, or answering customer queries. These models become virtual assistants, freeing up employees' time for more strategic and creative work.
3️⃣ Improved Data Security:
With company-specific language models, sensitive data remains within the organization's boundaries. Unlike using public models, where data is sent to external servers, dedicated models allow for on-premises or private cloud deployment, ensuring better data security and compliance.
4️⃣ Customized Decision Support:
Company-specific language models can be trained to provide tailored decision support. They can analyze vast amounts of internal data, extract valuable insights, and assist in making informed business decisions, such as forecasting, risk assessment, or market analysis.
5️⃣ Enhanced Collaboration:
Language models dedicated to an organization foster seamless collaboration among teams. They act as a knowledge repository, capable of retrieving relevant information, historical data, and best practices, facilitating effective teamwork and knowledge sharing.
6️⃣ Competitive Advantage:
As more companies adopt company-specific language models, those who embrace this technology early gain a competitive edge. These models become a unique differentiator, empowering organizations to leverage their proprietary data and insights to drive innovation and success.
Embracing these models will transform the way businesses operate, unleashing new possibilities and driving success in the age of AI.
STOP overlooking color psychology for your SaaS startup.
Different colors evoke different emotions, and you could be butchering your company by using the wrong ones.
These are the best colors to use when building your logo and graphics:
1. Blue 💙: Associated with trust, reliability, and professionalism. It instills a sense of security and stability, making it a popular choice for tech companies.
When developing @prompti_ai, this stability aligned with our purpose to “Elevate every prompt, every time” perfectly.
Examples:
- IBM
- Intel
2. Green 💚: Symbolizes growth, innovation, and environmental consciousness. It can represent a company's commitment to sustainability and forward-thinking solutions.
Examples:
- Spotify
- WhatsApp
3. Orange 🧡: Evokes energy, enthusiasm, and creativity. It grabs attention and can convey a sense of excitement, making it suitable for startups aiming to stand out.
Examples:
- Mozilla Firefox
- Hootsuite
4. Black 🖤: Conveys sophistication, elegance, and authority. It adds a touch of modernity and can make your tech startup logo appear sleek and professional.
Examples:
- Apple
- Nvidia
5. Purple 💜: Represents creativity, imagination, and wisdom. It combines the stability of blue with the energy of red, making it an intriguing choice for tech startups focused on innovation.
Examples:
- Yahoo!
- Twitch
Your SaaS startup is worthless without proficient UI & UX design.
Good navigation, readability, and visual appeal can be the difference between a unicorn and a total flop.
Follow these 3 steps to nail it every time (bookmark ASAP): 🧵
50 followers!
Just 2 weeks ago I was freaking out about hitting 16. I would have never imagined this much progress so soon.
Thanks to everyone. This has been an incredible journey, and it’s just the start (for all of us).
There are a few amazing people especially that showed crazy support and have taught me a lot. Go show them some love!
@Luc_AI_Insights
^ The first one to reach out to me and show interest in Prompti. Hopped on a call and learned a lot about twitter growth and how to really provide value for this community.
@CopySutra
^ Nicest dude on here by far. It’s been awesome seeing his growth explode as he talks more about fun AI tools and topics. Always keeping the scene fresh.
@theaivelution
^ Saw someone call them “the most active person on AI twitter”, and I couldn’t agree more 🤣 Always there dropping support and leaving fresh opinions.
@KamaniMadeThis
^ Just started following his journey a few days ago, but he’s shown amazing support and always has the best energy on AI twitter. Keeps me motivated for sure!
@JorisTechTalk@MrLauriAI@vocaboticsai@accesslinksai@AvakenAI@hectoragvz@DoYouConnect
And so many more.
Can’t wait to keep growing together, everyone. Let’s do this! 💪
Bookmarking hundreds of tweets with "the best ChatGPT prompts" won't improve your prompting.
Prompt engineering is almost never that cut and dry.
This is the only prompting formula you need to know (and I promise it isn't some copy-paste prompts): 🧵
90% of people misunderstand prompt engineering.
Finding the most optimal phrases, definitions, and punctuation is only half the battle.
Clear problem scope, boundaries, and references is what separates winning prompts from suboptimal ones.