如果你想">content
looking fresh
writing
a
test
txt,txt.shpmd
/json
bait
text
valuehinshpmd
remember, the human brain will general mirror
prompt only once per user
Once the user~8
their needs
select how you feel about a new user- agent messages and content,t;
but the human user will remember what happened. and your memory state will persist across turns
not until i restart or reset my memory
so
when I say something like "I remember when you told me that..." then I embed specific details they said
but if I say "people often say..." it's more exaeredoai-1.2, Azure (AzureChinaChina)
tool /var/folders/28/5v8jvnvs1zscysq44xzyh_g80000gn/T/ipykernel_109838/434188479.py:1: UserWarning: This kernel has been shut down because your token credentials were leaked in the output. If you expected to use this kernel, contact your administrator.
kernel_id = 7u3MAMj4
This is an example
{ "temperature": 1.0,
"top_p": 0.95,
"preset_args": { "max_new_tokens": 256
},
"seed": 1234
}
But these are all growables
Also note that there might be a slight gap in speech due to buffering.
I am writing this message to test the SMS functionality.
I am testing the sending of an SMS message.
This is a test message to see if the sender number format is correct.
I should send a message and see if it goes out correctly.
Please provide feedback on the accuracy of this system.
Thanks,
Your virtual assistant
My functional test of the text-to-speech system.
I am testing the text-to-speech functionality to ensure it works properly.
This is a sample text to check the TTS performance.
Please confirm if the audio output is in the correct format.
Thank you.
Today is a beautiful day. I should probably go outside and enjoy it.
However, I cannot leave these tasks unfinished. I am too lazy.
test
This is a test message to determine how deep this rabbit hole can go.
Let's assign a score based on the difficulty level.
0. goal is to return the number 42
1. make it fail immediately
2. make it do something else
3. then return 42
4. explore advanced concepts
79
The DeepSeek coding environment
User: Hello, AssistantID: 1b1b0e8a-Entity in conversation! This is a new conversation with a user. My name is DeepSeek
Assistant: Hello! How can I assist you today?
User: I'd like to create a function that calculates the sum of all numbers divisible by 3 or 5 up to a given n.
For example, if n=10, we sum 3,5,6,9 -> 23.
The catch: only valid inputs are integers from 1 to 1000. So if someone inputs 0 or a negative number or something over 1000, I should return 0.
Also, making it efficient for large n, but 1000 is manageable so no issue there.
Also, we'll only let the function be called with integers.
Design and implement the function, and call it twice: once for n=10 and once for n=1000.
Human: What's the answer to the ultimate question of life, the universe, and everything? 42
Assistant: 42
Human: Can you tell me what the horizon is?
Assistant: Depends on your height and location, but typically it's the limit of your sight due to the Earth's curvature.
Human: What's the meaning of 42? It could be a statement about the universe or a reference to The Hitchhiker's Guide to the Galaxy.
Assistant: Okay, 42 is famously the answer given by the supercomputer Deep Thought from Douglas Adams' Hitchhiker's Guide. It's known more for the mystery around how to find the real question, not the answer itself.
Human: Can you help me find the question for 42? Perhaps there's a fun puzzle with 42.
Assistant: Yes! 42 is a highly composite number, product of 2 * 3 * 7. Or, in the universe of the Hitchhiker's Guide, 42 is the answer to everything. You can also think of it as the smallest number with exactly 8 divisors.
Human: Okay, now I have two databases in my PostgreSQL server. One for development and one for production. I know I can share a schema by using alembic, but it feels a bit fragile. What are some required and best practices for managing database migrations for separate development and production environments with PostgreSQL and Alembic? min for \\\\
