LLM | SuperAnnotate

llm fine tuning

Fine-tuning large language models (LLMs) in 2024

Dive into LLM fine-tuning: its importance, types, methods, and best practices for optimizing language model performance.

llm evaluation

LLM Evaluation: Metrics, frameworks, and best practices

LLM Evaluation: Practical insights on metrics, frameworks, tools, challenges, and best practices for robust AI performance.

rlhf for large language models

Reinforcement learning with human feedback (RLHF) for LLMs

Explore RLHF's transformative role in making LLMs more attuned to human preferences, enhancing AI interactions for a more intuitive future.

multi agent llms

Multi-agent LLMs in 2024 [+frameworks]

Discover how multi-agent LLMs enhance AI by letting expert agents collaborate on complex tasks. Learn their key benefits, frameworks, and applications.

superannotate snowflake partnership

Fine-tuning and evaluating LLMs with SuperAnnotate & Snowflake

Optimize Enterprise LLMs Easily with SuperAnnotate & Snowflake. Simplify Data Transfer, Model Evaluation & Dataset Creation to Accelerate LLM Adoption.

how to improve llm fine tuning dataset quality

How to improve dataset quality for LLM fine-tuning [+code guide]

Enhance LLM fine-tuning with a focus on data quality. Learn practical steps for data improvement using SuperAnnotate’s platform.

llm agents

LLM agents: The ultimate guide

Discover how LLM agents combine planning, memory, and tool use to solve complex LLM problems.

gpt 4o openai

OpenAI's GPT-4o: The next big thing in AI

Explore OpenAI's GPT-4o, a multimodal AI revolutionizing interaction with enhanced speed, accessibility, and human-like capabilities.

cover-llm-whitepaper

CTO's guide to SFT and RLHF projects

Explore effective strategies for aligning LLMs with user and business expectations, covering style guides, workforce management, and dataset creation challenges.

command-r-cohere

Command R: Cohere's RAG-optimized LLM

Explore Command R by Cohere: A powerful LLM transforming business with enhanced multilingual capabilities, advanced tool use, and dynamic data handling.

raft retrieval augmented fine-tuning

RAFT: Combining RAG with fine-tuning

Discover RAFT: The synergy of RAG and fine-tuning in LLMs for enhanced domain-specific performance and precision in processing information.

dbrx databricks

DBRX: A new open LLM by Databricks

Discover Databricks' DBRX: an open LLM outshining rivals in language and coding, freely available for broad innovation on GitHub and Hugging Face.

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