Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.
Avoid being a link dump. Try to provide only valuable well tuned information.
Neural network links before starting with transformers.
Authentication means determining who a particular user is. Authorization means applying rules about what they can do. Blazor contains features for handling both aspects of this.
It worth remembering how the overall goals differ between server-side Blazor and client-side Blazor:
This is how to connect to another host with your docker client, without modifying your local Docker installation or when you don't have a local Docker installation.
First be sure to enable the Docker Remote API on the remote host.
This can easily be done with a container.
For HTTP connection use jarkt/docker-remote-api.
Designing Event-Driven Systems book by Ben Stopford contains a lot of useful links to papers, books, documentation and definitions related to event driven design and Kafka. I just extracted them as reference for the future and added some groups to show them better.
You can read the book for free
from langchain.llms import Anthropic | |
from langchain.agents import load_tools, initialize_agent | |
from langchain.tools import AIPluginTool | |
PREFIX = """\n\nHuman: Answer the following questions as best you can. You have access to the following tools:""" | |
SUFFIX = """Begin! | |
Question: {input} | |
\n\nAssistant: | |
Thought:{agent_scratchpad}""" |
@echo off | |
:: ------------------------------------------------------------ | |
:: create a solution with a razor pages project and a class library | |
:: add Serilog packages and EF Core | |
:: add virtualization folders | |
:: add a readme.md file | |
:: NOTE that the Nuget packages are the latest versions as of 07-2023 | |
:: ------------------------------------------------------------ | |
md RazorSolution |
namespace EsBankAccount.Account; | |
using Events = IReadOnlyCollection<IEvent>; | |
public record Transaction(decimal Amount, DateTime Date); | |
// events | |
public interface IEvent { } // used to mimic a discriminated union | |
public record Deposited(Transaction Transaction) : IEvent; | |
public record Withdrawn(Transaction Transaction) : IEvent; |
using System; | |
using System.Threading.Tasks; | |
namespace System.Collections.Concurrent | |
{ | |
public static class ConcurrentDictionaryExtensions | |
{ | |
/// <summary> | |
/// Provides an alternative to <see cref="ConcurrentDictionary{TKey, TValue}.GetOrAdd(TKey, Func{TKey, TValue})"/> that disposes values that implement <see cref="IDisposable"/>. | |
/// </summary> |
using System; | |
using System.Collections.Generic; | |
using System.Linq; | |
namespace TopologicalSort { | |
static class Program { | |
static void Main() { | |
// | |
// digraph G { | |
// "7" -> "11" |