GPT4All Python SDK

from gpt4all import GPT4All
model = GPT4All("Meta-Llama-3-8B-Instruct.Q4_0.gguf")
with model.chat_session():
    print(model.generate("quadratic formula"))

The quadratic formula!

The quadratic formula is a mathematical formula that provides the solutions to a quadratic equation of the form:

ax^2 + bx + c = 0

where a, b, and c are constants. The formula is:

x = (-b ± √(b^2 - 4ac)) / 2a

Let's break it down:

* x is the variable we're trying to solve for.
* a, b, and c are the coefficients of the quadratic equation.
* ± means "plus or minus".
* √ denotes the square root.

To use the formula, simply plug in the values of a, b, and c into the expression above. The resulting value(s) will be the solutions to the original quadratic equation!

For example, let's say we have the quadratic equation:

x^2 + 5x + 6 = 0

We can plug these values into the formula as follows:

a = 1
b = 5

from gpt4all import GPT4All
model = GPT4All("Meta-Llama-3-8B-Instruct.Q4_0.gguf")
print(model.generate("quadratic formula"))

. The equation is in the form of a + bx = c, where a and b are constants.
The solution to this problem involves using the quadratic formula which states that for any quadratic equation ax^2+bx+c=0, its solutions can be found by:
x = (-b ± √(b^2-4ac)) / 2a
In your case, since you have a + bx = c, we need to rewrite it in the form of ax^2+bx+c=0. To do this, subtract both sides from c, so that:
c - (a + bx) = 0
Now, combine like terms on the left side and simplify:
ax^2 + (-b)x + (c-a) = 0\n\nSo now we have a quadratic equation in standard form: ax^2+bx+c=0. We can use this to find its solutions using the quadratic formula:

x = ((-b ± √((-b)^2

from nomic import embed
embeddings = embed.text(["String 1", "String 2"], inference_mode="local")['embeddings']
print("Number of embeddings created:", len(embeddings))
print("Number of dimensions per embedding:", len(embeddings[0]))

Number of embeddings created: 2
Number of dimensions per embedding: 768