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10 Must-Know Python Libraries for LLMs in 2025
Large language models (LLMs) are changing the way we think about AI. They help with #chatbots, text generation, and search tools, among other natural language processing tasks and beyond. To work with #LLMs, you need the right #Python libraries.
In this article, we explore 10 of the Python libraries every developer should know in 2025.
Read and learn:
https://machinelearningmastery.com/10-must-know-python-libraries-for-llms-in-2025/
https://t.iss.one/CodeProgrammerβ
Large language models (LLMs) are changing the way we think about AI. They help with #chatbots, text generation, and search tools, among other natural language processing tasks and beyond. To work with #LLMs, you need the right #Python libraries.
In this article, we explore 10 of the Python libraries every developer should know in 2025.
Read and learn:
https://machinelearningmastery.com/10-must-know-python-libraries-for-llms-in-2025/
https://t.iss.one/CodeProgrammer
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β¨ Building a Multimodal Gradio Chatbot with Llama 3.2 Using the Ollama API β¨
π Table of Contents Building a Multimodal Gradio Chatbot with Llama 3.2 Using the Ollama API What Is Gradio and Why Is It Ideal for Chatbots? The Chatbot Youβll Build Today π What Is Ollama and the Ollama API Functionality Ollamaβ¦...
π·οΈ #AIApplications #Chatbots #DeepLearning #Gradio #LargeLanguageModels #OpenSource #Tutorial
π Table of Contents Building a Multimodal Gradio Chatbot with Llama 3.2 Using the Ollama API What Is Gradio and Why Is It Ideal for Chatbots? The Chatbot Youβll Build Today π What Is Ollama and the Ollama API Functionality Ollamaβ¦...
π·οΈ #AIApplications #Chatbots #DeepLearning #Gradio #LargeLanguageModels #OpenSource #Tutorial
π₯ Trending Repository: system_prompts_leaks
π Description: Collection of extracted System Prompts from popular chatbots like ChatGPT, Claude & Gemini
π Repository URL: https://github.com/asgeirtj/system_prompts_leaks
π Readme: https://github.com/asgeirtj/system_prompts_leaks#readme
π Statistics:
π Stars: 9.2K stars
π Watchers: 200
π΄ Forks: 2K forks
π» Programming Languages: JavaScript
π·οΈ Related Topics:
==================================
π§ By: https://t.iss.one/DataScienceM
π Description: Collection of extracted System Prompts from popular chatbots like ChatGPT, Claude & Gemini
π Repository URL: https://github.com/asgeirtj/system_prompts_leaks
π Readme: https://github.com/asgeirtj/system_prompts_leaks#readme
π Statistics:
π Stars: 9.2K stars
π Watchers: 200
π΄ Forks: 2K forks
π» Programming Languages: JavaScript
π·οΈ Related Topics:
#ai #gemini #openai #chatbots #prompts #claude #google_deepmind #large_language_models #llm #prompt_engineering #generative_ai #chatgpt #prompt_injection #anthropic
==================================
π§ By: https://t.iss.one/DataScienceM
β€1
In Python, building AI-powered Telegram bots unlocks massive potential for image generation, processing, and automationβmaster this to create viral tools and ace full-stack interviews! π€
Learn more: https://hackmd.io/@husseinsheikho/building-AI-powered-Telegram-bots
https://t.iss.one/DataScienceMπ¦Ύ
# Basic Bot Setup - The foundation (PTB v20+ Async)
from telegram.ext import Application, CommandHandler, MessageHandler, filters
async def start(update, context):
await update.message.reply_text(
"β¨ AI Image Bot Active!\n"
"/generate - Create images from text\n"
"/enhance - Improve photo quality\n"
"/help - Full command list"
)
app = Application.builder().token("YOUR_BOT_TOKEN").build()
app.add_handler(CommandHandler("start", start))
app.run_polling()
# Image Generation - DALL-E Integration (OpenAI)
import openai
from telegram.ext import ContextTypes
openai.api_key = os.getenv("OPENAI_API_KEY")
async def generate(update: Update, context: ContextTypes.DEFAULT_TYPE):
if not context.args:
await update.message.reply_text("β Usage: /generate cute robot astronaut")
return
prompt = " ".join(context.args)
try:
response = openai.Image.create(
prompt=prompt,
n=1,
size="1024x1024"
)
await update.message.reply_photo(
photo=response['data'][0]['url'],
caption=f"π¨ Generated: *{prompt}*",
parse_mode="Markdown"
)
except Exception as e:
await update.message.reply_text(f"π₯ Error: {str(e)}")
app.add_handler(CommandHandler("generate", generate))
Learn more: https://hackmd.io/@husseinsheikho/building-AI-powered-Telegram-bots
#Python #TelegramBot #AI #ImageGeneration #StableDiffusion #OpenAI #MachineLearning #CodingInterview #FullStack #Chatbots #DeepLearning #ComputerVision #Programming #TechJobs #DeveloperTips #CareerGrowth #CloudComputing #Docker #APIs #Python3 #Productivity #TechTips
https://t.iss.one/DataScienceM
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β€1
π The Architecture Behind Web Search in AI Chatbots
π Category: LLM APPLICATIONS
π Date: 2025-12-04 | β±οΈ Read time: 16 min read
Explore the technical architecture powering web search in AI chatbots. This analysis breaks down how generative models retrieve and integrate live web data to provide current answers, highlighting the crucial shift towards Generative Engine Optimization (GEO). Learn what this new paradigm means for content visibility in an AI-first search landscape, moving beyond traditional SEO.
#AI #GEO #Chatbots #Search #RAG
π Category: LLM APPLICATIONS
π Date: 2025-12-04 | β±οΈ Read time: 16 min read
Explore the technical architecture powering web search in AI chatbots. This analysis breaks down how generative models retrieve and integrate live web data to provide current answers, highlighting the crucial shift towards Generative Engine Optimization (GEO). Learn what this new paradigm means for content visibility in an AI-first search landscape, moving beyond traditional SEO.
#AI #GEO #Chatbots #Search #RAG
β€2