askkk

In new last version 0.10.1 it seems that for is not working with two arguments?

  const std = @import("std");
  const expect = std.testing.expect;

  test "for basics"  {
    const items = [_]i32 {4,5,3,4,0};
    var sum: i32 = 0;
    for(items, 0.. ) |value,_| {
      sum += value;
     }
     try expect(sum == 16);
  }

  ubuntu 22.04, snap zig version 0.10.1 , 
  zig test 1.zig produces:

  1.zig:7:12: error: expected ')', found ','
  for(items, 0.. ) |value,_| {
           ^

Edited: To update, I tried snap, but using snap install --classic --beta zig is a security risk because it can change the system and is not sandboxed.

I always enjoy reading some of your comments, they ameliorate the hype about LLM and give a critical review. Anyway, I think a stronger model than GPT-4 could improve the way to use tools, so that the model is able to self-improve using tools. For example using all kind of solvers and heuristics to guide the model. I don't know how to estimate that risk just now.

Edited: Don't know if is a good thing to study the weak points of closed LLMs. Even asking LLMs can give hints about possible ways to improve. In my case I am happy I am certainly old and my mind is a lot weaker than before, but even in this case I prefer not to use LLMs for gaining insight because she will someday get a better insight than myself. But the lust of knowledge is a mortal sin.

My username is in this list, this proof that the above list is only about submissions or comments that include the word LLM, that is not what I am looking for. Don't know if you can select by upvotes.

Nobody knows about future jobs for Prompt Engineers, but I suppose that such a job should require reading the new techniques and papers about LLM and be able to discover what type of context is better, so categorizing, clustering, A/B testing and some math skills could be good to have for such roles. I

If I was to interview someone for Prompt Engineering at least the candidate should be able to look for information in the web with the least effort, that is you should be able to collect important information with the minimum number of queries.