David Andrés 🤖📈🐍 @daansan_ml
📈 I summarise Machine Learning and Time Series concepts in an easy and visual way • 💊Follow me in https://t.co/hy44Q0jFQs 👉 Inquiries in [email protected] mlpills.substack.com Spain Joined May 2022-
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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! 🧵👇
🌟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 🧵👇
What are Vector Databases and why are they important in generative AI? 🤔 Find out more in the latest issue of MLPills 🧵👇
Akshay 🚀 @akshay_pachaar
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2K Followers 486 Following Ingenieros de día e inversores de noche | Promovemos la Educación Financiera 💵| Hablamos de Finanzas Personales e Inversión 📈| Blog ⬇️Exploratory Data Analysis (EDA) is a process used for investigating your data to discover patterns, anomalies, relationships, or trends using statistical summaries and visual methods. Let's find out more 🧵👇
Wanna learn how to build an AI coding assistant using Llama3 and open source tools?
@daansan_ml LLMs. We are also planning lots of new content about LLMs. But it is also important to understand the basics of ML. Thanks for the survey.
@daansan_ml I concur Genera ML gives a whole picture of the outcomes whether its regression or classification tasks....
For me ,it is LLM and NLP.
2️⃣ 𝗖𝗹𝗼𝘀𝘂𝗿𝗲 Borders matter! Objects inside a border, be it a line or a shared color, look like they belong together. This makes them stand out from other things we see. 🎯 Borders and shared colors are usually used in tables and graphs to group data.
1️⃣ 𝗦𝗶𝗺𝗶𝗹𝗮𝗿𝗶𝘁𝘆 Gestalt similarity means our brain groups things that look alike. This can be because of their position, shape, color, or size. 🎯 This is extensively used in heat maps or scatter plots.
Think of DataViz as your GPS in the world of numbers. It turns complex data into clear, actionable insights. But... why do some charts enlighten us while others don't? The Gestalt Theory explains how our brains perceive patterns and how to take advantage of them.
Struggling to craft effective charts? 🤔📊 Then, you better understand the 𝗚𝗲𝘀𝘁𝗮𝗹𝘁 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲𝘀 in Data Visualization. Today, I'm unveiling why some charts are intuitive while others are confusing 💥
More info about the @monsterapis Hackathon here 👇 lu.ma/seyaej4b Take this opportunity to learn, compete, and win a 𝗫𝗯𝗼𝘅 𝗦𝗲𝗿𝗶𝗲𝘀 𝗦 and 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗿𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻! Sign Up to the event now!
Overall, finetuning allows powerful customization of general LLMs, a key driver behind their widespread adoption across industries and applications.
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!
The pre-trained LLM is then finetuned on this data using transfer learning techniques like gradient updates, prompting, or recent methods like constitutional AI. Hyperparameters like batch size, learning rate, etc are tuned for best results.
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.
The first step is to obtain a foundational LLM pre-trained on a massive general corpus like web pages, books, etc. Popular base models include GPT-4, LLaMa3, Mixtral, etc. These capture broad language understanding but need specialization for particular use cases.
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 🧵👇