Update the latest news (#1966)

README.md

@@ -8,7 +8,7 @@ TensorRT-LLM
 [![python](https://img.shields.io/badge/python-3.10.12-green)](https://www.python.org/downloads/release/python-31012/)
 [![cuda](https://img.shields.io/badge/cuda-12.4.1-green)](https://developer.nvidia.com/cuda-downloads)
 [![trt](https://img.shields.io/badge/TRT-10.1.0-green)](https://developer.nvidia.com/tensorrt)
-[![version](https://img.shields.io/badge/release-0.11.0.dev-green)](./tensorrt_llm/version.py)
+[![version](https://img.shields.io/badge/release-0.12.0.dev-green)](./tensorrt_llm/version.py)
 [![license](https://img.shields.io/badge/license-Apache%202-blue)](./LICENSE)
 
 [Architecture](./docs/source/architecture/overview.md)   |   [Results](./docs/source/performance/perf-overview.md)   |   [Examples](./examples/)   |   [Documentation](./docs/source/)
@@ -17,9 +17,43 @@ TensorRT-LLM
 <div align="left">
 
 ## Latest News
+* [2024/07/09] Checklist to maximize multi-language performance of @meta #Llama3 with #TensorRT #LLM inference:
+✅ MultiLingual
+✅ NIM
+✅ LoRA tuned adaptors[➡️ Tech blog](https://developer.nvidia.com/blog/deploy-multilingual-llms-with-nvidia-nim/)
+<div align="center">
+<img src="docs/source/media/picture-07-09-2024.png" width="45%">
+<div align="left">
+
 * [2024/07/02] Let the @MistralAI MoE tokens fly 📈 🚀 #Mixtral 8x7B with NVIDIA #TensorRT #LLM on #H100.
 [➡️ Tech blog](https://developer.nvidia.com/blog/achieving-high-mixtral-8x7b-performance-with-nvidia-h100-tensor-core-gpus-and-tensorrt-llm?ncid=so-twit-928467)
-![Example Image](docs/source/media/picture-07-02-2024.png)
+
+* [2024/06/24] Enhanced with NVIDIA #TensorRT #LLM, @upstage.ai’s solar-10.7B-instruct is ready to power your developer projects through our API catalog 🏎️. ✨[➡️ link](https://build.nvidia.com/upstage/solar-10_7b-instruct?snippet_tab=Try )
+
+* [2024/06/18] CYMI: 🤩 Stable Diffusion 3 dropped last week 🎊 🏎️ Speed up your SD3 with #TensorRT INT8 Quantization[➡️ link](https://build.nvidia.com/upstage/solar-10_7b-instruct?snippet_tab=Try )
+
+* [2024/06/18] 🧰Deploying ComfyUI with TensorRT?  Here’s your setup guide [➡️ link](https://github.com/comfyanonymous/ComfyUI_TensorRT)
+
+* [2024/06/11] ✨#TensorRT Weight-Stripped Engines ✨
+Technical Deep Dive for serious coders ✅+99% compression ✅1 set of weights → ** GPUs ✅0 performance loss ✅** models…LLM, CNN, etc.[➡️ link](https://developer.nvidia.com/blog/maximum-performance-and-minimum-footprint-for-ai-apps-with-nvidia-tensorrt-weight-stripped-engines/)
+
+* [2024/06/04] ✨ #TensorRT and GeForce #RTX unlock ComfyUI SD superhero powers 🦸⚡ 🎥 Demo: [➡️ link](https://youtu.be/64QEVfbPHyg)
+📗 DIY notebook: [➡️ link](https://console.brev.dev/launchable/deploy?userID=2x2sil999&orgID=ktj33l4xj&name=ComfyUI_TensorRT&instance=L4%40g2-standard-4%3Anvidia-l4%3A1&diskStorage=500&cloudID=GCP&baseImage=docker.io%2Fpytorch%2Fpytorch%3A2.2.0-cuda12.1-cudnn8-runtime&ports=ComfUI%3A8188&file=https%3A%2F%2Fgithub.com%2Fbrevdev%2Fnotebooks%2Fblob%2Fmain%2Ftensorrt-comfyui.ipynb&launchableID=env-2hQX3n7ae5mq3NjNZ32DfAG0tJf)
+
+* [2024/05/28] ✨#TensorRT weight stripping for ResNet-50 ✨ ✅+99% compression
+✅1 set of weights → ** GPUs\ ✅0 performance loss ✅** models…LLM, CNN, etc
+👀 📚 DIY [➡️ link](https://console.brev.dev/launchable/deploy?userID=2x2sil999&orgID=ktj33l4xj&launchableID=env-2h6bym7h5GFNho3vpWQQeUYMwTM&instance=L4%40g6.xlarge&diskStorage=500&cloudID=devplane-brev-1&baseImage=nvcr.io%2Fnvidia%2Ftensorrt%3A24.05-py3&file=https%3A%2F%2Fgithub.com%2FNVIDIA%2FTensorRT%2Fblob%2Frelease%2F10.0%2Fsamples%2Fpython%2Fsample_weight_stripping%2Fnotebooks%2Fweight_stripping.ipynb&name=tensorrt_weight_stripping_resnet50)
+
+* [2024/05/21] ✨@modal_labs has the codes for serverless @AIatMeta Llama 3 on #TensorRT #LLM ✨👀 📚 Marvelous Modal Manual:
+Serverless TensorRT-LLM (LLaMA 3 8B) | Modal Docs [➡️ link](https://modal.com/docs/examples/trtllm_llama)
+
+* [2024/05/08] NVIDIA TensorRT Model Optimizer -- the newest member of the #TensorRT ecosystem is a library of post-training and training-in-the-loop model optimization techniques ✅quantization ✅sparsity ✅QAT [➡️ blog](https://developer.nvidia.com/blog/accelerate-generative-ai-inference-performance-with-nvidia-tensorrt-model-optimizer-now-publicly-available/)
+
+
+* [2024/05/07] 🦙🦙🦙 24,000 tokens per second 🛫Meta Llama 3 takes off with #TensorRT #LLM 📚[➡️ link](https://blogs.nvidia.com/blog/meta-llama3-inference-acceleration/)
+
+<details close>
+<summary>Previous News</summary>
 
 * [2024/02/06] [🚀 Speed up inference with SOTA quantization techniques in TRT-LLM](./docs/source/blogs/quantization-in-TRT-LLM.md)
 * [2024/01/30] [ New XQA-kernel provides 2.4x more Llama-70B throughput within the same latency budget](./docs/source/blogs/XQA-kernel.md)
@@ -32,6 +66,8 @@ TensorRT-LLM
 * [2023/10/17] [Large Language Models up to 4x Faster on RTX With TensorRT-LLM for Windows
 ](https://blogs.nvidia.com/blog/2023/10/17/tensorrt-llm-windows-stable-diffusion-rtx/)
 
+</details>
+
 ## TensorRT-LLM Overview
 
 TensorRT-LLM is an easy-to-use Python API to define Large