E.g. Fine-tuning improved verbosity
Try it today for free! https://
predibase.com/free-trial
LLMS
-
Fine-tuning Improves Verbosity – Free Trial Available
By
–
-
Predibase Launches Visual Language Models Fine-tuning and Serving Beta
By
–
Big news: Predibase now supports fine-tuning & serving Visual Language Models (#VLMs) [beta]! Combine visual + text inputs for reasoning, captioning, VQA, multimodal gen, & image search. Fine-tune easily, deploy faster, and outperform OOTB models. Docs
-
Linear Attention: Scaling LLMs Beyond Transformer Limitations
By
–
LLMs rely heavily on transformers, which make use of an "attention mechanism" for modeling interactions among inputs. But this attention mechanism is inefficient and thus difficult to scale to longer contexts. Because of this, researchers have been experimenting w/"linear
-
CSAIL Proposes Efficient Training Algorithm for Linear Transformers
By
–
Linear transformers have their own downsides, and there have been ongoing efforts in the community on improving their performance while maintaining training efficiency. Recently, CSAIL researchers have proposed a novel parallel algorithm for efficiently training an expressive
-
Developers Building on Advanced AI Models and Platforms
By
–
#Developers have an incredible opportunity, right here, right now, to start building off of some amazing technology, amazing models, amazing hardware." – @v_mohan_
— SambaNova (@SambaNovaAI) 22 novembre 2024
Start developing on the fastest #AI platform on the best models out there ⤵️#Developers have an incredible opportunity, right here, right now, to start building off of some amazing technology, amazing models, amazing hardware." – @v_mohan_ Start developing on the fastest #AI platform on the best models out there
-
Claude Becomes Core Infrastructure Through Amazon Bedrock
By
–
Through Amazon Bedrock, Claude has become core infrastructure for tens of thousands of companies seeking reliable and practical AI at scale. Together, we're laying a new technological foundation—from silicon to software—to train and power our most advanced AI models.
-
RAG Systems Need Evaluation Pipelines to Optimize Performance
By
–
Good morning everyone! You are probably implementing RAG systems, missing out on easy improvements. Most don’t even have an evaluation pipeline. How can they know if it’s optimal or if their system is improving with any changes? This is through evaluation, which is different
-
New app shows no European company in top 10 LLM rankings
By
–
Made a new app to visualize the LLM race ⇒ 𝗡𝗼 𝗘𝘂𝗿𝗼𝗽𝗲𝗮𝗻 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝗶𝗻 𝘁𝗵𝗲 𝘁𝗼𝗽 𝟭𝟬 I've adapted an app by @andrewrreed that tracks progress of LLMs on the Chatbot Arena leaderboard, to compare companies from different countries. The outcome is quite
-
Model builders overfitting on LMSys arena evaluators?
By
–
Are model builders starting to over-fit in one way or another on LMSys arena evaluators?
-
Bfloat16 vs Quantization: Performance Trade-offs in Model Deployment
By
–
Bfloat16 or nothing! FWIW – all the models deployed on Hugging Chat are bf16. Quants are good for local/ hobby use – however you always leave perf on the table.