Levi @levikul09
I explain Data Science on Grandma's level. Writing https://t.co/25jLCDRZms bento.me/levi Joined July 2014-
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Levi retweeted
I've amassed a small collection of Python programming tips which I've been posting here on X. Mostly Matplotlib stuff, but not limited to it. I've created a dedicated page on Github to store them all in one convenient place now. I hope this helps a bit.
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Levi retweeted
Finetuning adapts a pre-trained LLM to a specific task or domain by further training it on relevant data, for example, to obtain an LLM specialized in law, coding or even medicine! Let's learn more about finetuning! 🧵👇
I tend to forget that adding labels to charts is so much easier than it was back in time. bar_label() is a game changer.
Just learned about this histogram alternative: The stem and leaf plot. - Good for small data - Can show actual values, not just bars The stem shows the leading digit, the leaf represents the trailing digit.
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This is your friendly reminder to keep things simple!
I've amassed a small collection of Python programming tips which I've been posting here on X. Mostly Matplotlib stuff, but not limited to it. I've created a dedicated page on Github to store them all in one convenient place now. I hope this helps a bit.
How Pete Carroll is at home watching Seahawks first pick
Byron Murphy's recent IG story from a ~month or so ago. Oh yeah, baby. Let's fucking go.
Finetuning adapts a pre-trained LLM to a specific task or domain by further training it on relevant data, for example, to obtain an LLM specialized in law, coding or even medicine! Let's learn more about finetuning! 🧵👇
Evaluation after finetuning shows the model now excels at the target task compared to using just the general pre-trained model. Iterative cycles of data collection, retraining and evaluation can further boost performance. You can use the Open LLM Leaderboard to do so!
Next, task-specific data is curated - e.g. data relevant to customer service for a conversational AI, scientific papers for a research assistant, etc. This data should be high-quality, diverse, and representative of the desired capabilities.
Let's continue, but first, an opportunity you can't miss... Are you interested in this? You can show off your finetuning skills in the LLaMa3 Hackathon @monsterapis is hosting 👇
🌟MonsterAPI is hosting a 𝗟𝗟𝗮𝗠𝗮𝟯 𝗛𝗮𝗰𝗸 that you can be a part of!🌟 Use MonsterAPI's state-of-the-art MonsterGPT to fine-tune LLaMa3. 🎮 𝗣𝗿𝗶𝘇𝗲: 𝗪𝗶𝗻 𝗮 𝗫𝗯𝗼𝘅 𝗦𝗲𝗿𝗶𝗲𝘀 𝗦 𝗮𝗻𝗱 𝗴𝗮𝗶𝗻 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗿𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻! Find out more 🧵👇
Finetuning allows the LLM to learn task-specific patterns while transferring general knowledge from the original broad pretraining corpus. 👉 Proper finetuning yields substantial performance gains.
Levels is one of the people on here I have a real problem with, and whenever I voice it I get a ton of pushback. Im gonna be blunt, y'all idolize the most fucking depraved weirdos. If you encourage someone struggling with mental illness to talk to ChatGPT you are an idiot.
@levelsio All you are doing is giving people who have stigma associated with it , an excuse to skip working on their problems. You are just building a dystopia one startup at a time Pieter. Please look yourself in the mirror and ask if you are really better than those pharma companies
Okay the porn bots are literally putting hardcore pornography in my replies @elonmusk this is becoming deranged
Let's build a RAG app using MetaAI's Llama-3 (100% local):
Data Anaytics basics with python
REAL MADRID WILL PLAY THE SECOND LEG OF THE SEMI FINAL AT SANTIAGO BERNABEU!
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