Nicolay Gerold
@nicolaygerold
Nicolay Gerold
Service firms are hired for two reasons:
That execution-oriented first bucket tends to include IT implementations (like cloud migration projects), financial audits, and outsourced customer support –... See more
- Do a job that the client doesn’t have the bandwidth or expertise to do.
- Offer third-party expertise in decisions (cynically, to cover the client’s a**.)
That execution-oriented first bucket tends to include IT implementations (like cloud migration projects), financial audits, and outsourced customer support –... See more
The Death of the Big 4: AI-Enabled Services Are Opening a Whole New Market
In the open-source community, there are huge numbers of people leveraging AutoGen in creative ways, and solving surprising problems. One pattern that we see as fundamental is the "generator+critic" pattern, where one agent generates content (writing, code, etc.) and another agent critiques it (finds bugs, etc.) They can iterate until the solution... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
People think of browser extensions as brittle: a site changes its CSS selectors, and bam the extension breaks.
But I think the opposite: it's wild how *resilient* browser extensions often are!
Consider the context: I can extend any aspect of a webapp UI, with zero support or foresight by the original app devs... and it actually works?
I've built... See more
But I think the opposite: it's wild how *resilient* browser extensions often are!
Consider the context: I can extend any aspect of a webapp UI, with zero support or foresight by the original app devs... and it actually works?
I've built... See more
Geoffrey Litt • Tweet
When we deliver a model we make sure we don't reach X seconds of latency in our API. Before even going into performance of LLMs for classification, I can tell you that with the current available tech they are just infeasible.
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LinuxSpinach
•
5h ago
^ this. And especially classification as a task, because businesses don’t want to pay llm... See more
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LinuxSpinach
•
5h ago
^ this. And especially classification as a task, because businesses don’t want to pay llm... See more
r/MachineLearning - Reddit
We're doing NER on hundreds of millions of documents in a specialised niche. LLMs are terrible for this. Slow, expensive and horrifyingly inaccurate. Even with agents, pydantic parsing and the like. Supervised methods are the way to go. Hell, I'd take an old school rule based approach over LLMs for this.
Coz: Finding Code that Counts with Causal Profiling
by Charlie Curtsinger and Emery Berger
Coz is a profiler for native code (C/C++/Rust) that unlocks optimization opportunities missed by traditional profilers. Coz employs a novel technique called causal profiling that measures optimization potential. It predicts what the impact of optimizing code... See more
by Charlie Curtsinger and Emery Berger
Coz is a profiler for native code (C/C++/Rust) that unlocks optimization opportunities missed by traditional profilers. Coz employs a novel technique called causal profiling that measures optimization potential. It predicts what the impact of optimizing code... See more
plasma-umass • GitHub - plasma-umass/coz: Coz: Causal Profiling
The problem I've found with all of them is it is difficult to get consistent solid results that you would want to build around. Even listening to podcasts this seems to be a theme with the people at the forefront of MAS LLMs.
r/AI_Agents - Reddit
The taste modalities ensure that we get enough of all macros. Sweet = carbs, umami = proteins, salt = electrolytes, bitter = avoid poisonous, sour = avoid spoiled food.
Andrew Huberman • Dr. Charles Zuker: The Biology of Taste Perception & Sugar Craving
Model Description
NSQL is a family of autoregressive open-source large foundation models (FMs) designed specifically for SQL generation tasks.
In this repository we are introducing a new member of NSQL, NSQL-Llama-2-7B. It's based on Meta's original Llama-2 7B model and further pre-trained on a dataset of general SQL queries and then fine-tuned on a... See more
NSQL is a family of autoregressive open-source large foundation models (FMs) designed specifically for SQL generation tasks.
In this repository we are introducing a new member of NSQL, NSQL-Llama-2-7B. It's based on Meta's original Llama-2 7B model and further pre-trained on a dataset of general SQL queries and then fine-tuned on a... See more