Laurian Gridinoc @gridinoc
Full Stack Computational Linguist ※ Mozilla OpenNews Fellow ※ Virtual Production ※ Filmmaker ※ AI accelerationist gridinoc.com 1 AU Joined April 2007-
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Laurian Gridinoc retweeted
i did not expect to wake up this morning and write a blog post
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Laurian Gridinoc retweeted
Amusing how 99% of people trying to explain LLMs forget that they don't generate the next token, they generate a probability distribution over the entire vocabulary space that the end application is free to sample from You are very often not presented with the Most Likely Token
Amusing how 99% of people trying to explain LLMs forget that they don't generate the next token, they generate a probability distribution over the entire vocabulary space that the end application is free to sample from You are very often not presented with the Most Likely Token
Laurian Gridinoc retweeted
Just had an aha moment w/ GEPA @DSPyOSS - Gemini 2.5 Flash-Lite (GPT 4.1 reflection LM) - 3 signatures in one compound module - 12 training examples - 10 test examples - 32 minutes of optimizer runtime - $0.90 total cost Results: - Baseline: 68.2% - GEPA-Optimized: 95.3% 🤯
Laurian Gridinoc retweeted
Hermes-4-14B has been released! huggingface.co/NousResearch/H… Our most compact LLM from the Hermes 4 series is locally usable and optimized for consumer hardware, providing at-home access to its powerful hybrid reasoning and tool calling. The model is now available on Nous Chat for…
Laurian Gridinoc retweeted
@atroyn @trychroma Next cohort starts soon: maven.com/applied-llms/r…
Laurian Gridinoc retweeted
Only two people can remove your appendix: your surgeon, or your conference chair.
Visualising some context compression…
Testing contextual compression coverage with the same prompt on several models, then with @DSPyOSS GEPA and TextGrad optimised prompts for gpt-4o-mini
This is how it feels to optimise a context compression prompt with @DSPyOSS GEPA and TextGrad
Laurian Gridinoc retweeted
I enjoyed reading this LLM-powered data application paper from UCSF: "When the Domain Expert Has No Time and the LLM Developer Has No Clinical Expertise." It gets at the heart of many of my favorite things: accelerating productivity with data analysis, evals in cross-functional…
Laurian Gridinoc retweeted
One of the most pressing questions in our AI Evals course is: "Why can’t I just have an LLM write my LLM pipeline?" The nuanced answer is that you can use LLMs to assist, but not for the whole pipeline. Knowing where to put the LLM in the loop is the hard part. To unpack this,…
Laurian Gridinoc retweeted
I needed to record a session on what I feel is the value unlock of Sentry's MCP server Its a little long, but if you are unconvinced of Seer, of why you should use Sentry, of why MCP is actually awesome, there is no way you can straight-faced not grok it after this
Laurian Gridinoc retweeted
~ Ruler for Remote Async Agents ~ Example of running Ruler in a github action, so that your remote async agents (copilot swe agent, openhands, claude action, etc...) always have the rules available when you ask them to hack on something. github.com/intellectronic…
Laurian Gridinoc retweeted
@glean Plenty more talks like this one coming up in the Fall. If you want to join us for RAG, here's 20% off for Cohort 4: maven.com/applied-llms/r…
Laurian Gridinoc retweeted
Nous Research presents Hermes 4, our latest line of hybrid reasoning models. hermes4.nousresearch.com Hermes 4 builds on our legacy of user-aligned models with expanded test-time compute capabilities. Special attention was given to making the models creative and interesting to…
Laurian Gridinoc retweeted
AI has graduated from PhD student to advisor
Laurian Gridinoc retweeted
after leading a few projects, i've found that once you've set up the evals + experiment harness and make it easy to tweak config and prompts with 1-click run + eval, teams enjoy running experiments and hill climbing those numbers, and progress comes quickly. but setting up that…
Laurian Gridinoc retweeted
claude $20 tier is for europeans 30 minutes of coding, 4.5 hour siesta, repeat
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