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Trying out AI Tools just fun and there’s a lot you can learn simply by interacting with Artificial Intelligence.
Although it can never give the same feel as what you’d get from communicating with a human being, but I can tell you AI tools are so good you’ll occasionally forget your chatting with a machine.
I had an interesting chat with Gemini and as a content creator, I learned a lot.
The chat was so good I thought I should share it with the creative community.
My Chat with Gemini
The items in bold are my questions (or prompts) and the normal text following are the responses from Gemini.
Here you go.
Can you access the web?
I can’t directly access the web in the same way a web browser does. I don’t have my own internet connection and can’t browse websites on my own.
However, I am trained on a massive dataset of text and code that includes information from the real world web. This allows me to access and process information that is similar to what you would find on the web. I can also keep my response consistent with search results.
Is there anything specific you were hoping to find on the web that I can help you with?
How current is your data base?
While I can’t access real-time information directly, the dataset I am trained on is massive and constantly being updated. Google engineers and researchers work to incorporate new information and improve the currency of the data.
It’s important to remember though, that there will always be a slight delay between when something happens in the real world and when it is reflected in my responses.
Is there a particular topic you’re interested in knowing the currency of information on? I can try my best to find out how often that data is updated.
Most AI tool work on GPT models. Is it the same with you?
You’re correct that many AI tools utilize GPT models! GPT, which stands for Generative Pre-trained Transformer, is a powerful type of neural network architecture that excels in language processing tasks.
There are actually several versions of GPT, with GPT-3 being a particularly well-known one. However, I myself don’t directly rely on GPT models. While I can’t disclose the specifics of my inner workings, I belong to a different family of large language models developed by Google AI, called the PaLM (Pathway Language Model) family.
Both GPT models and PaLM models are trained on massive datasets of text and code, allowing them to generate human-quality text, translate languages, write different kinds of creative content, and answer your questions in an informative way.
Nice. Can you tell me more about PaLM
While I can’t divulge all the specifics of PaLM due to its confidential nature, I can share some general information about it:
- PaLM stands for Pathway Language Model. It’s a family of large language models created by Google AI.
- Like GPT models, PaLM models are trained on massive amounts of text data. This allows them to perform many similar tasks, such as generating text, translating languages, and answering questions.
- One potential advantage of PaLM models is their focus on pathways. This means they can be fine-tuned for specific tasks more easily than some other models.
- PaLM is still under development, but it has shown promising results in various tasks.
Here are some resources where you can learn more about large language models in general, though they may not specifically discuss PaLM:
- A blog post by Google AI about the potential of large language models: Large Language Models: An area of ongoing research: [invalid URL removed]
- A Wikipedia article on large language models: Large language model: https://en.wikipedia.org/wiki/Large_language_model
Apart from PaLM and GPT, what other large language models do we have?
There are several other large language models (LLMs) out there besides PaLM and GPT! Here are a few examples:
- Microsoft Azure OpenAI Service: This service provides access to a range of OpenAI’s models, including GPT-3.5, Codex, DALL-E 2 (for image generation), and Whisper (for audio processing). Azure OpenAI Service: https://azure.microsoft.com/en-us/products/ai-services/openai-service
- Megatron-Turing NLG by NVIDIA: This model is known for its massive size and focus on achieving high accuracy on various tasks. Megatron-Turing NLG: https://developer.nvidia.com/
- WuDao 2.0 by BAAI: This Chinese LLM is known for its ability to process information in Mandarin and English. WuDao 2.0: https://gpt3demo.com/apps/wu-dao-20
- Jurassic-1 Jumbo by AI21 Labs: This model is known for being open-source and accessible for research purposes. Jurassic-1 Jumbo: https://www.ai21.com/blog/announcing-ai21-studio-and-jurassic-1
- BLOOM by Allen Institute for Artificial Intelligence: This model is known for being trained on a dataset that emphasizes safety and factuality. BLOOM: https://bigscience.huggingface.co/blog/bloom
These are just a few examples, and there are many other LLMs under development by various companies and research institutions. The field of LLMs is constantly evolving, with new models and capabilities emerging all the time.
Which LLM does Claude use?
The specific LLM behind Claude isn’t publicly disclosed by Anthropic, the organization that created Claude. There’s speculation that it relies on a Transformer-based neural network architecture, which is common for LLMs, but confirmed details are not available.
Can you write a long-form blog post?
Absolutely! I can definitely write a long-form blog post for you. To make it as useful and interesting as possible, I’ll need some information from you first.
Here are some things to consider:
- Topic: What would you like the blog post to be about? Is there a specific niche you’re interested in, or a current event you’d like to explore?
- Target Audience: Who are you writing this blog post for? Understanding your readers will help tailor the tone, language, and level of detail.
- Length: Do you have a specific word count in mind, or a preferred reading time?
- Style: Is there a particular style you’d like the post to have? Informative, persuasive, humorous, or something else entirely?
Once you provide me with this information, I can craft a well-structured and informative blog post that is relevant to your audience and objectives.
Here’s an example of a long-form blog post structure I can follow:
- Attention-grabbing introduction: Hook the reader with a question, a surprising fact, or a relevant anecdote.
- Background information: Provide context and explain the key concepts related to your topic.
- Main body: This is the heart of your post where you delve deeper into your arguments, providing evidence and examples. Break it down into clear sections with subheadings for easy readability.
- Counterarguments: Briefly address any opposing viewpoints to show a well-rounded perspective.
- Conclusion: Summarize the main points and offer a final takeaway message for your readers.
- Call to action: Encourage your readers to take a specific step, like subscribing to your blog, sharing the post, or leaving a comment.
I can also include multimedia elements like images, infographics, or videos to enhance the blog post and make it more engaging.
Let me know what you have in mind, and I’ll be happy to get started on your long-form blog post!
Is there a character or word limit for your output as this may affect the length of the long-form content
While there isn’t a hard character or word limit for my outputs, there is a technical limit based on tokens. Tokens are essentially units representing words or parts of words. My responses are generally capped around 1,000 tokens, which translates roughly to 4,000 words.
This shouldn’t be a major restriction for long-form blog posts. Here’s how we can work with it:
- Planning and Chunking: We can plan the structure of your blog post together, breaking it down into sections or subtopics. I can then generate content for each section individually, staying within the token limit for each part.
- Iteration and Refinement: Once I’ve written each section, you can review it and provide feedback. We can iterate on specific sections to ensure they flow well together and achieve your desired length.
While this might take a little more back-and-forth compared to a single massive generation, it allows for greater control and ensures the quality of each section.
Would you like me to help you brainstorm some blog post ideas and structure it based on the 1,000 token limit?
Can the posts and images you generate for me be used for commercial purposes?
The legal use of text and images generated by me for commercial purposes is a bit of a grey area. Here’s a breakdown of what to consider:
Text:
- Generally, the text I generate is considered my output, and copyright might be unclear.
- My training data likely includes copyrighted material, making ownership of the final text complex.
Images:
- Similar to text, the copyright of images I generate is uncertain.
- The source data for images may have copyright restrictions.
Recommendations:
- It’s best to avoid using my outputs directly for commercial purposes without further clarification.
- You can consider them as creative starting points and modify them substantially to make them more original creations.
Here are some resources that might be helpful:
- Legal considerations for AI-generated images: Can AI Images be Used for Commercial Use?: [invalid URL removed]
If you’d like commercially usable content, it’s advisable to look for resources with explicit commercial use licenses. These might include stock photo websites or AI tools that offer commercial licenses for their outputs.
Give me an image of a successful blogger inside a skyscraper glass house with a view of Los Angeles at night
We are working to improve Gemini’s ability to generate images of people. We expect this feature to return soon and will notify you in release updates when it does.
Thanks for these useful responses. I think I like this Gemini name more than Bard
I’m glad you find the responses helpful and that you prefer the name Gemini! It’s always nice to hear positive feedback.
Is there anything else you’d like to ask or try out with Gemini today?
No. I have a blog post to finish before going for Netflix. Thanks. Bye for now.
Sounds good! Happy blogging and enjoy your Netflix time. If you have any questions while you’re writing or in the future, feel free to ask me anything. Bye for now!
Conclusion
It’s obvious I had a good time talking to Gemini.
Here are the important things I learned:
- Gemini can’t browse the web in real time it is constantly updated using Google database. So while it may have access to anything available to Google, it may take some time before it receives information about realtime events.
- Gemini is currently having trouble generating images.
- Gemini does not run on GPTs (generative pre-trained models). It is powered by Googles own LLM known as PaLM (pathway Language Model). Like GPT models, PaLM models are trained on massive amounts of text data.
That’s it. If you enjoyed my conversation with Gemini (formerly Bard) head over to gemini.google.com to start yours.
