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FastGen: Cutting GPU Memory Costs Without Compromising on LLM Quality

Marktechpost

Recently, a technique that adds a token selection task to the original BERT model learns to select performance-crucial tokens and detect unimportant tokens to prune using a designed learnable threshold. It is important to consider pruning tokens’ potential within the KV cache of auto-regressive LLMs to fill this gap.

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Top LangChain Books to Read in 2024

Marktechpost

LangChain is an open-source framework that allows developers to build LLM-based applications easily. It provides for easily connecting LLMs with external data sources to augment the capabilities of these models and achieve better results. It teaches how to build LLM-powered applications using LangChain using hands-on exercises.

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Beyond ChatGPT; AI Agent: A New World of Workers

Unite.AI

Systems like ChatGPT by OpenAI, BERT, and T5 have enabled breakthroughs in human-AI communication. Current Landscape of AI Agents AI agents, including Auto-GPT, AgentGPT, and BabyAGI, are heralding a new era in the expansive AI universe. Their primary focus is to minimize the need for human intervention in AI task completion.

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Introduction to Large Language Models (LLMs): An Overview of BERT, GPT, and Other Popular Models

John Snow Labs

Instead of navigating complex menus or waiting on hold, they can engage in a conversation with a chatbot powered by an LLM. The LLM analyzes the customer’s query, processes the natural language input, and generates a contextual response in real-time. Pythia: Pythia is a vision and language LLM developed by EleutherAI.

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Application modernization overview

IBM Journey to AI blog

Generating configuration management inputs (for CMDB)and changing management inputs based on release notes generated from Agility tool work items completed per release are key Generative AI leverage areas. The ability to generate insights for security validation (from application and platform logs, design points, IAC, etc.)

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Creating your whole codebase at once using LLMs – how long until AI replaces human developers?

deepsense.ai

Usually agents will have: Some kind of memory (state) Multiple specialized roles: Planner – to “think” and generate a plan (if steps are not predefined) Executor – to “act” by executing the plan using specific tools Feedback provider – to assess the quality of the execution by means of auto-reflection.

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Best Large Language Models & Frameworks of 2023

AssemblyAI

Below, we'll give you the basic know-how you need to understand LLMs, how they work, and the best models in 2023. A large language model (often abbreviated as LLM) is a machine-learning model designed to understand, generate, and interact with human language. What Is a Large Language Model?