Jim Spohrer

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Jim Spohrer

Jim Spohrer

@JimSpohrer

Reflecting on it all. 56 Maine 74 MIT/Verbex 82 Yale/URome 89 Apple 98 IBM 22 ISSIP/ https://t.co/qMNNDWRRsU Next things ? RIP

California USA Katılım Nisan 2011
2.9K Takip Edilen2.6K Takipçiler
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Aaron Rupar
Aaron Rupar@atrupar·
"I'm Bruce Springsteen and I'm here today to support Kamala Harris and Tim Waltz for president and vice president. And to oppose Donald Trump and JD Vance. Here's why -- I want a president who reveres the constitution ... Trump is running to be an American tyrant ... "
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Jim Spohrer
Jim Spohrer@JimSpohrer·
Back country balance beam
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Jim Spohrer
Jim Spohrer@JimSpohrer·
@Grady_Booch Philosophy is taught in K12 schools in France, according to a retired IBM colleague in France.
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Jim Spohrer@JimSpohrer·
Henry Coe State Park
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Jim Spohrer@JimSpohrer·
Lupine blossoming
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Jim Spohrer@JimSpohrer·
Wilder Ranch
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Jim Spohrer@JimSpohrer·
Last apple on tree 2023
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Christina Engelbart
Christina Engelbart@ChristinaDEI·
#OnThisDay in 1968 Doug Engelbart & team stunned their audience with the Mother of All Demos - the world debut of the mouse, hypermedia, teleconferencing, and much much more, with the lofty goal of augmenting human intellect! Learn more dougengelbart.org/Firsts.
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28DIGITAL
28DIGITAL@28DGTL·
THE course to take this fall 📌 Generative AI essentials - take the course and learn from the best! @JimSpohrer and @mpodien kick it off on November 28, mix and match classes based on your interest or take the bundle! 👉 okt.to/saeVM7
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Jim Spohrer
Jim Spohrer@JimSpohrer·
Halloween moonrise
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Jim Spohrer
Jim Spohrer@JimSpohrer·
@fchollet F = current token. F(previous tokens) = next token.
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François Chollet
François Chollet@fchollet·
My interpretation of prompt engineering is this: 1. A LLM is a repository of many (millions) of vector programs mined from human-generated data, learned implicitly as a by-product of language compression. A "vector program" is just a very non-linear function that maps part of the latent space unto itself. 2. When you're prompting, you're fetching one of these programs and running it on an input -- part of your prompt serves as a kind of "program key" (as in database key) and part serves as program argument(s). Like, in "write this paragraph in the style of Shakespeare: {my paragraph}", the part "write this paragraph in the stye of X: Y" is a program key, with arguments X=Shakespeare and Y={my paragraph}. 3. The program fetched by your key may or may not work well for the task at hand. There's no reason why it should be optimal. There are lots of related programs to choose from. 4. Prompt engineering represents a search over many keys in order a find a program that is empirically more accurate for what you're trying to do. It's no different than trying different keywords when searching for a Python library. 5. Everything else is unnecessary anthropomorphism on the part of the prompter. You're not talking to a human who understands language the way you do. Stop pretending you are.
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killian
killian@hellokillian·
great week for open source / the openinterpreter.com project. Monday, we added 400+ open source language models for offline use. Tuesday, Open Interpreter became the #1 open source project on GitHub for the entire week. Wednesday, we passed 🌟 20K stars. Thursday, we added a feature to save & resume conversations. Friday (today) added R support, unlocking countless data analysis / forecasting use-cases. 🎵 things can only get better... 🎵
killian@hellokillian

Wow. This was impossible days ago. Open Interpreter v0.1.2— released this morning— can setup most HuggingFace models for offline use with one command. It's local, private, and free. $ pip install --upgrade open-interpreter $ interpreter --model tiiuae/falcon-180B

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